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Questions - tf.data.dataset

How to do k-Fold Cross Validation with tf.data.Dataset API?

It easy to do k-Fold Cross Validation by using scikit-learn package. There we separately use data and labels. However, here combine data and labels before feeding into model. like: tf.data.Dataset.fr...
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Ahmad

python

tensorflow2.0

tf.keras

tf.data.dataset

Votes: 0

Answers: 0

TF Dataset with CSV file where image is stored in another directory

I'm trying to create an input dataset into my TF model using a CSV dataset that I have. The dataset has the following scheme: image_name, label XXXXXXX.png, some_integer_value XXXXXXX.png, some_intege...
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Sathvik Chinta

tensorflow

tf.data.dataset

Votes: 0

Answers: 1

Latest Answer

Can use tf.data.Dataset.from_tensor_slices in conjunction with Pandas (for all_image_paths and all_image_labels) for something like def load_and_preprocess_image(path): image_string = tf.compat.as_s...
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Sathvik Chinta

Tensorflow Keras: Problems to handle variable length input, using generator?

We want to train our model on varying input dimensions. Every input in a given batch and across batches has different dimensions. We cannot resize our input (since we’ll lose our microscopic features)...
test-img

Ahmad

python-3.x

deep-learning

generator

tf.keras

tf.data.dataset

Votes: 0

Answers: 0

Adding randomness to the performing of image augmentation while using tf.data.dataset.from_tensor_slices with tf.cond

Good day to all! I am trying to add the possibility to control the "randomness" of the augmentation, which is applied to the image data. This means that I perform every augmentation operatio...
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Denis D.

python

tensorflow

tensorflow2.x

tf.data.dataset

Votes: 0

Answers: 0

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