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I have two issues (Note that this code is generated in google colab): Issue 1 I want to stream the droid dataset, which is almost 2TB big. I want to only use data which matches my filter conditions. ...
user31865617's user avatar
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1 answer
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Issue I have previously loaded this dataset in Google Colab without error, but I now encounter an error. Code !pip install --upgrade 'tensorflow_data_validation[visualization]<2' import tensorflow ...
AlexEast's user avatar
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1 answer
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I have a train step for a Vertex AI pipeline that uses a template code for setting up distributed training. When fitting any model I get a message in the first epoch indicating the following message: ...
alberto sansegundo's user avatar
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1 answer
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I use this code to setup my dataset for trainning and predict: train_dataset = train_dataset.batch(train_batch_sz) train_dataset = train_dataset.repeat().prefetch(5) test_dataset_sim = test_dataset ...
Jonathan Roy's user avatar
1 vote
2 answers
122 views

I'm trying to play around with a neural network using the "lm1b" dataset in my computer before training a larger model in a cloud machine. What I'm struggling with is that every time I try ...
jpjandrade's user avatar
1 vote
1 answer
111 views

Pretty new with data generator and dataset from tensorflow. I struggle with sizing batch, epochs and step... I can't figure the good set up to remove error "Local rendezvous is aborting with ...
Jonathan Roy's user avatar
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0 answers
44 views

I am trying to train a simple CNN on custom image data. While training with raw numpy data, the model learns as expected. However when I convert the same raw numpy data to dataset using tf.data....
Neo's user avatar
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1 vote
1 answer
33 views

I am learning how to use Tensorflow with a piece of old code provided at a workshop a couple of years back (i.e. it should've been tested and works). However it didn't work, and my investigations led ...
Erin's user avatar
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1 answer
74 views

There are a number of previous answers to this error but none relate to my issue. I am creating a tensorflow dataset using a generator and for the examples sake am trying fit a very simple API model. ...
AdamS's user avatar
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-1 votes
1 answer
129 views

I was building a model and I wanted to test its performance, thus I imported a local file and load it and try to predict its label with the following code: from tensorflow.preprocessing import image # ...
Efe FRK's user avatar
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1 answer
68 views

I have a Tensorflow dataset that contains tensors of rank 2. Each tensor was read from a file and has varying first dimension and constant second dimension. For example, the shapes of each item can be ...
Daniyar's user avatar
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1 vote
0 answers
43 views

I have a dataset of tfrecords and mapped them to a Tensorflow dataset. The dataset structure has a dict structure as follows: { "image" : ImageDataTensor, "additional_features" : ...
tobstar's user avatar
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1 answer
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I'm trying to create a tensorflow dataset using from_tensor_slices but the string I'm passing is getting messed up within the map function: def test(x): print(x) return x filenames=['a','b','...
user3433489's user avatar
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I have around 1800 short videos. Each video is around 30 seconds. I trained a VAE to encode each frame into a latent vector (of size 200). Using this VAE, then I created a TFrecord with an entry for ...
Dr Sokoban's user avatar
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1 vote
0 answers
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I'm training a Sequential model in a binary classification problem. My dataset is in HDF format and consists of many files, which are often too large to fit in memory. To handle this, I tried using a ...
Navix's user avatar
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2 votes
0 answers
44 views

I am currently in the process of using an existing network architecture (TSMixer: An All-MLP Architecture for Time Series Forecasting) for a sequence classification. The existing structure of my data: ...
user25407722's user avatar
1 vote
0 answers
47 views

I'm having trouble converting image and mask data into Dataset that can be used in keras.Model. I have a list of 100 images with a shape of (100, 128, 128, 3)) and I have a list of 100 ...
Jho's user avatar
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238 views

I want to code a simple machine learning on JupyterLab but got error as Title I have collect the data as x are lamda, eps, c (the shape of data is 102010 rows × 3 columns) and y is sen (the shape of ...
Earth's user avatar
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0 answers
283 views

I am trying to work with tensorflow_datasets library, the dataset I am working on is STL-10, but it doesn't matter much, because no matter what dataset I use, the same error is returned. I am using ...
Toby's user avatar
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0 answers
141 views

I have been trying to import the tensorflow_datasets module but it repeatedly shows an attribute error. I have tried clearing the cache, reinstalling the package again and also restarting the device ...
Yusuf Abbas's user avatar
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0 answers
163 views

I'm currently approximately following Gitesh Chawda's guide for YOLOV8 from here Everything is going as expected until the image augmentation stage, at which point the images are correctly augmented, ...
Jackson Thomas's user avatar
-1 votes
1 answer
113 views

I'm trying to use food101 dataset but while it has meta folder of train and test it can only see train data. (train_data, test_data), ds_info = tfds.load(name="food101", ...
DarkestDay's user avatar
1 vote
0 answers
91 views

I am pretty new with working with Tensorflow and in coding in general. So I'm sorry if this question seems trivial or was answered somewhere else in a way that I maybe didn't understand as a solution ...
DerAkte's user avatar
  • 21
0 votes
1 answer
98 views

I need help to build a generator for a Siamese model in Keras and Tensorflow. I succeeded in creating a python generator but it resulted too slow for my purposes. My idea was to use Tensorflow ...
Davide's user avatar
  • 11
0 votes
1 answer
124 views

I am trying to build a datapipeline for inference on some video files. The videos are alot in number hence, I am using the the tf.data.dataset pipeline with a from_generator method to create ...
prynet's user avatar
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