Issue I need collection of sample images (negative images, or also called background images) for haar training using opencv. It is written that I need to have a lot of them. About 5000 or 10000. Do you know where to
Continue readingTag: training-data
Where to get background sample images for haar training?
Issue I need collection of sample images (negative images, or also called background images) for haar training using opencv. It is written that I need to have a lot of them. About 5000 or 10000. Do you know where to
Continue readingPython SKLearn training test data
Issue This is my first time working on machine learning. I have an assignment to run Logistic and Bayesian Regression from Sklearn on apple stock returns and compare that with linear regression + tensor flow. I am not sure if
Continue readingBuild tools for Tesseract Training on Windows 10
Issue On the Tesseract Github page for training, there is mentioned to install These two additional libraries. where can we find these files for Windows 10: libpango1.0-dev libcairo2-dev Solution On windows training tools requires a lot of external libraries that
Continue readingTesseract error while building training tools related to uchar.h file and ICU version
Issue I have tried to follow the tutorials from here to build training tools for Tesseract. I get this error. depbase=`echo boxchar.lo | sed ‘s|[^/]*$|.deps/&|;s|\.lo$||’`;\ /bin/sh ../../libtool –tag=CXX –mode=compile g++ -DHAVE_CONFIG_H -I. -I../.. -DNDEBUG -DPANGO_ENABLE_ENGINE -I../../src/api -I../../src/api -I../../src/ccmain -I../../src/ccutil -I../../src/ccstruct
Continue readingThe dilemma of overfitting in NN training
Issue My question is in continuation to the one asked by another user: What's is the difference between train, validation and test set, in neural networks? Once learning is over by terminating when the minimum MSE is reached by looking
Continue readingTraining spacy model not working: running the train_ner script has no effect
Issue I am writing a program that uses the spacy model en_core_web_md for Named Entity Recognition. It was not identifying all my entities correctly: for instance, there were some names of people and organisations that were not being recognised as
Continue readingSplit data into training and test set: How to make sure all factors are included in training set?
Issue I have a data frame called b. I split this into a training set and test set. smp_size <- floor(0.75 * nrow(b)) set.seed(123) train_ind <- sample(seq_len(nrow(b)), size = smp_size) b_train <- b[train_ind, ] b_test <- b[-train_ind, ] b contains
Continue readingWhen is Dlib's svm_c_linear_trainer better than svm_c_linear_dcd_trainer?
Issue I have a machine learning problem with high-dimensional labelled inputs and a relatively small sample size. Using the very cool visual guide brought me to the svm_c_linear_trainer method. But what I understand from the documentation is that the similar
Continue readingSplit dataset into training and test by month
Issue I was not able to find the answer to this anywhere. I have data for three months, where I would like to split it into the first two months(‘Jan-19’, ‘Feb-19’) as training set and the last month as the
Continue readingHow to adjust parameter of SVM for better training
Issue I am working on a Linear SVM and I am using Opencv with Python, I am trying to adjust the parameters for better training but still not getting the good results, I am feeling that I am going through
Continue readingR: Use model$xlevels to subset data to get to training data
Issue Consider mtcars example: model <- fit3 <- lm(mpg ~ factor(am)+wt+qsec+hp+drat, data = mtcars) When you do model$xlevels we get the levels of the variable that was used for modeling. If I want to use these level details to subset
Continue readingIncremental training of random forest model using python sklearn
Issue I am using the below code to save a random forest model. I am using cPickle to save the trained model. As I see new data, can I train the model incrementally. Currently, the train set has about 2
Continue readingTraining the datasets in R studio
Issue I am dividing the datasets into 70% of the training and 30% as validating set. There are lots of NaN variables too and maybe because of that, I could not train my data. Although, I was able to differentiate
Continue readingWhen training with Caffe should file lists be sorted?
Issue When training with Caffe and not using lmdb files one has to provide listing files for the training and the validation input files. Typically these two listing files are called train.txt and val.txt. They have same structure, like so:
Continue readingTensorFlow how do the new contrib.data.Dataset objects work?
Issue In TensorFlow, the old input pipeline used a series of queues, and threads enqueueing and dequeueing elements from those queues. For example, the string_input_producer queue for file names, tf.train.batch as a queue for batching, etc. Consequently before training, you
Continue readingHow to train and update weights of 3D filters
Issue I have some problems with training CNN 🙁 For example, 3D data (width, height, depth): Input 6x6x3, 1 core 3x3x3, output = 4x4x1 => pool: 2x2x1 CONVOLUTION EXAMPLE IMAGE This and other tutors are explain to calc deltas for
Continue readingTensorflow trained model speed
Issue I’m a Tensorflow newby and I’m trying to train a 1 class model for object detection. In particular I’m trying to recognize an arrow like the following: I need a very fast recognition so I started wondering if a
Continue readingdarknet: ./src/parser.c:315: parse_yolo: Assertion `l.outputs == params.inputs' failed
Issue I’m trying to train yolo on my own dataset using darknet I tried yolov2,yolov3 to do so.. I followed this article here https://medium.com/@manivannan_data/how-to-train-multiple-objects-in-yolov2-using-your-own-dataset-2b4fee898f17 .. but every time i start training I get the same error darknet: ./src/parser.c:315: parse_yolo: Assertion
Continue readingI would like to consider a feature set(vector) for a data in python for my machine learning algorithm. How can I do it?
Issue I have data in the following form Class Feature set list classlabel1 – [size,time] example:[6780.3,350.00] classlabel2 – [size,time] classlabel3 – [size,time] classlabel4 – [size,time] How do I save this data in excel sheet and how can I train the
Continue readingHow to hyperparametrize Amazon SageMaker Training Jobs Console
Issue I’m trying to use de AWS SageMaker Training Jobs console to train a model with H2o.AutoMl. I got stuck trying to set up Hyperparameters, specifically setting up the ‘training’ field. {‘classification’: true, ‘categorical_columns’:”, ‘target’: ‘label’} I’m trying to set
Continue readingValueError: Error when checking input: expected conv2d_36_input to have shape (3, 32, 32) but got array with shape (1, 10, 10)
Issue When I try to run my training model the error comes what should I do to pass the error report? Is there any problem with my model or my reshape part? This is my reshape part # Reshape and
Continue readingTraining a model from multiple corpus
Issue Imagine I have a fasttext model that had been trained thanks to the Wikipedia articles (like explained on the official website). Would it be possible to train it again with another corpus (scientific documents) that could add new /
Continue readingHow to use DataLoader for PyTorch on iPython Console of Spyder
Issue I check this Tutorial and can’t figure out a way to actually use my DataLoader to train a ANN. When iterating over my DataLoader a cmd prompt pops up and immediately closes itself, afterwards nothing happens. My original data
Continue readingopencv haartraining didnt finish
Issue i use 1292 positive image its for face and 5712 negative image and this my code for harrtraining C:\opencv\build\x64\vc11\bin\opencv_haartraining.exe -data cascades -vec vector/facevector.vec -bg negative/bg.txt -npos 1033 -nneg 5712 -nstages 20 -nsplits 2 -nonsym -minhitrate 0.999 -maxfalsealarm 0.5 -mem
Continue readingI trained Yolo v3 using my own data, but prediction shows class I did not train
Issue I’m trying to make a Yolo v3 model for detecting traffic lights for each color. So I started to train Yolo v3 using my own data of traffic lights. The classes I set are six. red light, green light,
Continue readingRemove punctuations from list and convert string value to float in python
Issue I want to remove the dollar signs and commas from the column and cast to float. This is what I do so far, it didn’t work. Actually nothing changed. The data look like[“$200,00″,”$1,000.00″…”$50.00”] import pandas as pd import string
Continue readingTraining Chip and Target Image format in TensorFlow
Issue I am trying to build a Land Cover Classification model for Sentinel Image. The Image Channels(bands) I am using are 32-bit float. I need to understand how to best format the Image data, both the chips/patches for training and
Continue readingwhy the `test process` is inside the epoch loop in deep learning?
Issue I am new to deep learning, here is the code I saw The code is fine, but I don’t understand the follow: for epoch in range(1, args.epochs + 1): train(epoch) test(epoch) with torch.no_grad(): sample = torch.randn(64, 20).to(device) sample =
Continue readingRepeating images in training dataset for tensorflow object detection models
Issue I’m training a tensorflow object detection model which has been pre-trained using COCO to recognize a single type/class of objects. Some images in my dataset have multiple instances of such objects in them. Given that every record used in
Continue readingCloud Vision Model Image Find No Similarity
Issue So, im using Google Vision to detect watches, so i just follow the instructions, i create 2 labels (Komono and Casio) both are diferent watches. I upload 10 photos in good resolution and with diferent angles. So it looks
Continue readingHow to get rid of ValueError: could not convert string to float
Issue I am running the following code reg = linear_model.LinearRegression() reg.fit(df[[‘year’]], df.income) and after doing that I am getting the following error ValueError: could not convert string to float: ‘19,703,399.30’ year value is like 1960-2016 income looks like 19,703,399.30 How
Continue readingThe train and validation accuracy of image classification with single class data are wrong and want to fix this
Issue I have built an image classification program using 32 images for train and 16 images for validation with batch size of 16 and 10 epochs. I have used ImageDataGenerator(rescale=1./255).flow_from_directory(image path and other parameters) for train and validation images. I
Continue readingGenerate a trained model on number series and identify the next number
Issue I want to create a model in which i will be passing a number series and it will identify the series pattern and will generate the next value. ex: Input: 2, 4, 6, 8, 10, 12, 14 ,16…..200 Above
Continue readinginitialization neural network model kfold
Issue I initialized the network model before the k-fold starts. Does that mean that the model trains for the first fold and this model with the trained weights is taken for the second fold and so on? What if the
Continue readingIs it possible to train the sentiment classification model with the labeled data and then use it to predict sentiment on data that is not labeled?
Issue I want to do sentiment analysis using machine learning (text classification) approach. For example nltk Naive Bayes Classifier. But the issue is that a small amount of my data is labeled. (For example, 100 articles are labeled positive or
Continue readingImport Error: Cannot Import name input_reader_pb2
Issue I am using Tensorflow Object Detection API to train my object detection model. I accumulated the dataset, and am going through the this tutorial. Everything went fine until I tried to train my dataset. When I run the following
Continue readingFitting Training Labels on a 2D List in Scikit-learn
Issue I am trying to map rows in a 2d to list to elements in a list of labels with Scikit-learn. For example: from sklearn import tree clf = DecisionTreeClassifier() #2D list of training data: training_data = [[1, 2, 3],
Continue readingIn the train method what's the relationship between tuneGrid and trControl?
Issue The preferred method in R to train known ML models is to use the caret package and its generic train method. My question is what’s the relationship between the tuneGrid and trControl parameters? as they are undoubtedly related and
Continue readingYolo training on google colab crashes with error buffer over flow
Issue I am trying to train a standard unmodified model using yolov3-tiny.cfg . I am using Google Colab because i can’t afford a good GPU to train my data on. I am training on 2 classes. and this error occurred..
Continue readingWhat the point of creating traing and testing data in kNN?
Issue I’m facing my first machine learning algorithm which is knn, and the thing that has confused me the most is spliting the dataset into training and testing data. With more complicated ms algorithms I can imagine that the computer
Continue readingKeras image similarity model trouble with labels
Issue I am working on a deep image similarity model and I would like to get some help on it. I keep getting this error and don’t know what to exactly do with it or how to fix it. Input
Continue readingRelationship between training accuracy and validation accuracy
Issue During a CNN model training, I noticed various behaviour in between training and validation accuracy. I understand that ‘The training set is used to train the model, while the validation set is only used to evaluate the model’s performance…’,
Continue readingTrain time series models in caret by group
Issue I have a data set like the following set.seed(503) foo <- data.table(group = rep(LETTERS[1:6], 150), y = rnorm(n = 6 * 150, mean = 5, sd = 2), x1 = rnorm(n = 6 * 150, mean = 5, sd
Continue readingHow to understand a function which splits the data
Issue Can someone help me understanding what this function does? I understand up to the line print but after that I’m a bit lost. Starting from train_data. def stratifiedShuffleSplit_data(X, y): sss = StratifiedShuffleSplit(n_splits=5, test_size=0.5, random_state=0) for train_index, test_index in sss.split(X,
Continue readingtensorflow: batches of variable-sized images
Issue When one passes to tf.train.batch, it looks like the shape of the element has to be strictly defined, else it would complain that All shapes must be fully defined if there exist Tensors with shape Dimension(None). How, then, does
Continue readingTensorflow Object Detection Training Killed, Resource starvation?
Issue This question has partially been asked here and here with no follow-ups, so maybe this is not the venue to ask this question, but I’ve figured out a little more information that I’m hoping might get an answer to
Continue readingDarknet weight training 'Assertion '0' failed'
Issue I’ve just started training my first weights. Transfer learning to be exact. The pc I have is running on Ubuntu and currently using Darknet framework with the darknet53.conv.74 pre-trained model + yolov3.cfg that I modified for a single class
Continue readingHow one can quickly verify that a CNN actually learns?
Issue I tried to build a CNN from scratch based on LeNet architecture from this article I implemented backdrop and now trying to train it on the MNIST dataset using SGD with 16 batch size. I want to find a
Continue readingImport Error: Cannot Import name 'input_reader_pb2'
Issue I am using Tensorflow Object Detection API to train my object detection model. I accumulated the dataset, and am going through the Training Custom Object Detector – Tensorflow Object Detection API Tutorial Everything went fine until I tried to
Continue readinghow to plot training error and validation error vs number of epochs?
Issue how to plot training error and validation error vs number of epochs? train_data = generate_arrays_for_training(indexPat, filesPath, end=75) validation_data=generate_arrays_for_training(indexPat, filesPath, start=75) model.fit_generator(generate_arrays_for_training(indexPat, filesPath, end=75), #end=75),#It take the first 75% validation_data=generate_arrays_for_training(indexPat, filesPath, start=75),#start=75), #It take the last 25% #steps_per_epoch=10000, epochs=10) steps_per_epoch=int((len(filesPath)-int(len(filesPath)/100*25))),#*25),
Continue readingBest way to read minibatches from a very large BigQuery table?
Issue I have a large (>200M rows) BigQuery table that i’d like to read mini-batches from so that I can train a machine learning model. The dataset is too large to fit into memory so I can’t read it all
Continue readingTake output of intermediate layer as input for model training
Issue Usually we feed a model for training with external data. But I would like to use tensor coming from intermediate layer of the same model as an input for next batch. I believe that this can be acheived by
Continue readingMachine Learning Training & Test data split method
Issue I was running a random forest classification model and initially divided the data into train (80%) and test (20%). However, the prediction had too many False Positive which I think was because there was too much noise in training
Continue readingWhy is my validation loss lower than my training loss?
Issue Why is my validation loss lower than my training loss? I wonder if those curves are acceptable. I don’t know if those curves are true or not. Solution This case will rarely happen in a real-world dataset, however, it
Continue readingDoes the notation of a named entity label type in spacy have to match with the notation of the annotated label type in the training data?
Issue I want to train the NER-Model by spaCy on my own corpus, which was annotated via WebAnno. Unfortunately, the notation of one NE category in spaCy does not match with the respective notation in WebAnno: In WebAnno, the label
Continue readinghow to split data into training and testing
Issue I got this dataset which is composed of images and their labels. I load them using a custom function that I’ve written. The problem where I stumbled upon is that I don’t know how to appropriately split them in
Continue readinghow important is the loss difference between training and validation data at the beginning when training a neuronal network?
Issue Short question: Is the difference between validation and training loss at the beginning of the training (first epochs) a good indicator for the amount of data that should be used? E.g would it be a good method to increase
Continue readinghow to read .hdf5 datafile as input to a convolutional neural network?
Issue I have saved my large array of images and their labels in HDF5 format using this link: Saving and loading a large number of images (data) into a single HDF5 file which gives me following keys. list of datasets:
Continue readingDistribution of training, validation, and test set?
Issue I want to ask about the distribution of train, validation, and test set? lets assume, i want to make a binary resnet classifier with two class of ‘cat’ and ‘dog’. Assume the name of the image each class is:
Continue readingParallelize data preparation with tensorflow and keras
Issue I’m training an LSTM model on GPU using Tensorflow Keras. Before training starts when calling model.fit() it takes about 30 minutes to start training process. I think in this period its preparing data using one core of CPU. Am
Continue reading80-20 or 80-10-10 for training machine learning models?
Issue I have a very basic question. 1) When is it recommended to hold part of the data for validation and when is it unnecessary? For example, when can we say it is better to have 80% training, 10% validating
Continue readingDifference between the cost function of a training sample and the cost function of a mini-batch
Issue Lets say that I have a neural network named ‘NN’ with 500 weights and biases (total parameters=500). For one training sample: It’s introduced through ‘NN’, it spits out an output (Out1), the output is compared to the training label,
Continue readingTraining a CNN with multiple input 3D-arrays in keras
Issue I need to train a 3D_Unet model with (128x128x128) patches of 42 CT scans. My input data is 128x128x128 for the CT scans and also for masks. I extended the shape of arrays to (128, 128, 128, 1). Where
Continue readingCan we use Keras model's accuracy metric for Image Captioning model?
Issue Kindly consider the following line of code. model.compile(loss=’categorical_crossentropy’, optimizer=’adam’,metrics=[‘accuracy’]) I am allowed to use metrics=[‘accuracy’] for my Image Captioning model. My model has been defined as follows: inputs1 = Input(shape=(2048,)) fe1 = Dropout(0.2)(inputs1) fe1=BatchNormalization()(fe1) fe2 = Dense(256, activation=’relu’)(fe1) inputs2
Continue readingHow does training a neural network using a metaheuristic like PSO work?
Issue I want to learn a bit more about other approaches to training neural networks and I can find a fair bit of literature on GA training a network but not much on PSO training. How does that work? I
Continue readingTraining and predicting with Xgboost in R
Issue I have one question related to the cross-validation, tuning, training and predicting of a model when using the package xgboost and the function xgb.cv in r. In particular, I have re-used and adapted a code from internet in order
Continue readingif y_test data is the predicted results, how can I see the actual results?
Issue Im trying to make a confusion matrix to determine how well my model performed. I split my model into x and y testing and training set however, to make my confusion matrix, I need the y_test data(the predicted data)
Continue readingtraining by batches leads to more over-fitting
Issue I’m training a sequence to sequence (seq2seq) model and I have different values to train on for the input_sequence_length. For values 10 and 15, I get acceptable results but when I try to train with 20, I get memory
Continue readingMeasuring the bias of a machine learning model
Issue How can we measure the bias of a machine learning model? Can we determine it by just calculating its performance estimates difference on the train data and test data? For example, if a model SVM predicts on train data
Continue readingAssertion Error while training on last epoch
Issue I have used a model from this repo. I want to train it again to improve performance. This is my training command. !python train.py –snapshot efficientdet-d0.h5 –phi 0 –gpu 0 –weighted-bifpn –random-transform –compute-val-loss –freeze-bn –batch-size 4 –steps 100 coco
Continue readingIs it possible to resume training from a checkpoint model in Tensorflow?
Issue I am doing auto segmentation and I was training a model over the weekend and the power went out. I had trained my model for 50+ hours and saved my model every 5 epochs using the line: model_checkpoint =
Continue readingCan neural networks handle redundant inputs?
Issue I have a fully connected neural network with the following number of neurons in each layer [4, 20, 20, 20, …, 1]. I am using TensorFlow and the 4 real-valued inputs correspond to a particular point in space and
Continue readingHow do I train tesseract 4 with image data instead of a font file?
Issue I’m trying to train Tesseract 4 with images instead of fonts. In the docs they are explaining only the approach with fonts, not with images. I know how it works, when I use a prior version of Tesseract but
Continue readingWhat does –passes do in Python VowpalWabbit?
Issue The –passes flag is the number of training passes. But it’s unclear what the notion of passes means when training a Python VW model, within a for loop for example. e.g. If I’m training a model example by example
Continue readingMethods for creating training data for SpaCy models?
Issue I recently began a NLP journey using SpaCy, and I have ~5,500 strings which I want to label up. For the first 100, I did this using a spreadsheet with custom columns, which was then run through a script
Continue readingHow to split data into train set (and test set) every nrows in R?
Issue I’ve got a classification problem where I have a huge DATASET containing 308.500 data. I want to split these data into a train set and a test set in order to create a model. But I want the train
Continue readingCan logistic regression be used for variables containing lists?
Issue I’m pretty new into Machine Learning and I was wondering if certain algorithms/models (ie. logistic regression) can handle lists as a value for their variables. Until now I’ve always used pretty standard datasets, where you have a couple of
Continue readingGiven a decently-sized dataset, what's the first step to start making predictions on it?
Issue So i got a database with 550k historical events in it. For each event, I have a list of possible outcomes, and the actual result. I want to use that to make some predictions about future events. I have
Continue readingValueError: Layer #232 (named "fpn_cells/cell_0/fnode0/add") expects 0 weight(s) , but the saved weights have 1 element(s)
Issue I’ve been trying to train dataset using python train.py –snapshot efficientdet-d0.h5 –phi 0 –gpu 0 –random-transform –compute-val-loss –freeze-backbone –batch-size 4 –steps 100 coco C:/Users/mustafa/Downloads/deneme.v1-1.coco/datasets/coco And I’ve seen this error. Traceback (most recent call last): File “train.py”, line 381, in
Continue readingCombining/adding vectors from different word2vec models
Issue I am using gensim to create Word2Vec models trained on large text corpora. I have some models based on StackExchange data dumps. I also have a model trained on a corpus derived from English Wikipedia. Assume that a vocabulary
Continue readingTensorflow doesn't train: 'DataFrame' objects are mutable, thus they cannot be hashed
Issue I want to build and train a neural network with tensorflow (but without Keras, on Keras it I got it working) on the kaggle dataset ‘House Prices’. I use Python and apart from the actual training, my code runs
Continue readingTensorflow Keras Shape mismatch
Issue While trying to implement a standard MNIST digit recognizer that many tutorials use to introduce you to neural networks, I’m encountering the error ValueError: Shape mismatch: The shape of labels (received (1,)) should equal the shape of logits except
Continue readingI got this error when training gru model TypeError: unsupported operand type(s) for *: 'int' and 'NoneType'
Issue code from Hands on Machine Learning with Scikit Learn Keras and TensorFlow 2nd Edition-2019 import tensorflow as tf from tensorflow import keras from __future__ import print_function from keras.callbacks import LambdaCallback from keras.models import Sequential from keras.layers import Dense from
Continue readingI already have train and test datasets, how do i pass them to model
Issue Usually we have one datset and we perform train and test split, but now i already have two datasets i.e train data set and test data set. How do i pass them to the model!? Solution I’m going to
Continue readingValueError: multiclass format is not supported
Issue While I am trying to use metrics.roc_auc_score, I am getting ValueError: multiclass format is not supported. import lightgbm as lgb from sklearn import metrics def train_model(train, valid): dtrain = lgb.Dataset(train, label=y_train) dvalid = lgb.Dataset(valid, label=y_valid) param = {‘num_leaves’: 64,
Continue readingSelect a random subset of data
Issue I have a dateset given to me that was previously split in training and validation (test) data. I need to further split the training data into a separate training data and calibration set, I don’t want to touch my
Continue readingHow to draw a perpendicular line from each point of a training set to surface plane in matplotlib
Issue I’m using matplotlib. I have a following linear regression model with a surface plane and training data set. I need to draw orthogonal distance from each data point to the surface plane that would look similar to this: Here
Continue readingValidation loss and training loss curve , is that acceptable?
Issue I applying epilepsy seizure prediction using CNN. This is a plot for validation loss and training loss. I don’t know whether this curve is acceptable or not. Any help would be appreciated Solution Yes it’s acceptable as long as
Continue readingKeras ImageDataGenerator validation split not selected from shuffled dataset
Issue How can I randomly split my image dataset into training and validation datesets? More specifically, the validation_split argument in Keras ImageDataGenerator function is not randomly splitting my images into training and validation but is slicing the validation sample from
Continue readingAbout training data for spaCy NER
Issue I’m new to NLP. Now I’m trying to create NER model for extracting music artist’s name from some text. But It hasn’t gone well.This is what I’ve done. I got 1500,000 artist’s name list. I created training data with
Continue readingAborted Caffe training – no error message
Issue I’d like to train my network with caffe but unfortunately, when I try to run train.sh, the process gets aborted showing no specific error message. I already created my pre-trained weights, my model.prototxt and the LMDB database which I
Continue readingImportError: cannot import name 'device_spec' from 'tensorflow.python.framework'
Issue When i try to run python train.py –logtostderr –train_dir=training/ –pipeline_config_path=training/faster_rcnn_inception_v2_pets.config command this error pops out. (tensorflow1.13) C:\tensorflow1\models\research\object_detection>python train.py –logtostderr –train_dir=training/ –pipeline_config_path=training/faster_rcnn_inception_v2_pets.config Traceback (most recent call last): File "train.py", line 51, in from object_detection.builders import dataset_builder File "C:\tensorflow1\models\research\object_detection\builders\dataset_builder.py", line 33,
Continue readingMemory error while training my model: Unable to allocate 31.9 GiB for an array with shape (3094, 720, 1280, 3) and data type float32
Issue So, I am providing labels to my images as "0" and "1" based on the presence of a human. When I pass all my images and try to train my model. I get a memory error. import warnings warnings.filterwarnings(‘ignore’)
Continue readingI don't understand Keras function "fit"
Issue When I was building a DataGenerator and trying to fit it into a model, it didn’t work. So I’ve taken a look into the Keras function ‘fit’ directly. But I don’t understand what this down below code is meaning
Continue readingTrain an image classification model using Tesnsorflow
Issue what image classification to use for training? we want to train a model with our own pictures for a school project. Can I use resnet50 or any other trainable model? I couldn’t find Resnet50 trainable model and I found
Continue readingdiffering results when using model to infer on a batch vs individual with pytorch
Issue I have a neural network which takes input tensor of dimension (batch_size, 100, 1, 1) and produces an output tensor of dimension (batch_size, 3, 64, 64). I have differing results when using model to infer on a batch of
Continue readingPython code for training Arabic spacy NER model not giving result or errors
Issue This is the code to train the spacy model for NER. My dataset is Arabic tweets JSON file. I tagged location manually labeled in my dataset by https://dataturks.com machine learning tools but the code is not running. I used
Continue readingWhy does the Bytes Processed for the query is 100GB when my dataset is only 2.4gb in Google BigQuery ML?
Issue I ran a create model for a table of 2.4gb that is not external and it run for 14 hours and 25 min as shown The first image says that My query will process 2.4gb when run. Second one
Continue readingAttribute Error: 'List' object has no attribute 'shape' . Error while trying to train the model with multiple features( multiple arrays)
Issue I have two arrays "train_vol" and "train_time" with shape (164,6790) and one array "train_cap" with shape(164,1). I want to train the model like this… inputs–> train_vol and train_time output–> train_cap …..validation inputs –> val_vol,val_time and validation output –> val_cap….shape
Continue reading