Classifying Images using Data Augmentation Reviews

Kamalakannan G. · Reviewed over 1 year ago

vivek k. · Reviewed over 1 year ago

José Ramón V. · Reviewed over 1 year ago

Yasumoto T. · Reviewed over 1 year ago

Shah Aqil K. · Reviewed over 1 year ago

I wasn't able to find the reuqired environment, TensorFlow Enterprise 2.6 (with LTS). I did the estimator installation but still got error in this one: preproc_layers = tf.keras.Sequential([ tf.keras.layers.experimental.preprocessing.Resizing( height=IMG_HEIGHT, width=IMG_WIDTH, input_shape=(None, None, 3)) ])

Mona S. · Reviewed over 1 year ago

Sonia M. · Reviewed over 1 year ago

Dhavalkumar D. · Reviewed over 1 year ago

Packages have been updated, already declared functions are no longer compatible

Kenny P. · Reviewed over 1 year ago

Charalampos G. · Reviewed over 1 year ago

Jamie T. · Reviewed over 1 year ago

Neeraj G. · Reviewed over 1 year ago

bharat a. · Reviewed over 1 year ago

Dharmeshkumar B. · Reviewed over 1 year ago

Aldiyar T. · Reviewed over 1 year ago

Chaouki B. · Reviewed over 1 year ago

Siyong L. · Reviewed over 1 year ago

Dharmeshkumar B. · Reviewed over 1 year ago

Dharmeshkumar B. · Reviewed over 1 year ago

Lab is using an old version of Tensorflow no longer available in workbench. Lot of change to be made in the lab... To fix compatibility issues versions, replace deprecated experimental preprocessing layers with their updated counterparts (RandomCrop and RandomFlip), ensure input shapes are explicitly defined using an Input layer at the start of the model, and wrap hub.KerasLayer in a custom tf.keras.layers.Layer with a build method to handle input shapes dynamically.

Laurent J. · Reviewed over 1 year ago

Wayne L. · Reviewed over 1 year ago

Misleading instructions. Could not find Tensorflow 2.6.0. I had to change the code according to tensorflow 2.17.0 version to complete the lab

Amol T. · Reviewed over 1 year ago

bharat a. · Reviewed over 1 year ago

Nikhil S. · Reviewed over 1 year ago

Nachiketa p. · Reviewed over 1 year ago