Computer_Vision/Chapter03
2024-02-13 03:34:51 +01:00
..
.keep source version 2024-02-13 03:34:51 +01:00
Batch_normalization.ipynb source version 2024-02-13 03:34:51 +01:00
Impact_of_building_a_deeper_neural_network.ipynb source version 2024-02-13 03:34:51 +01:00
Impact_of_dropout.ipynb source version 2024-02-13 03:34:51 +01:00
Impact_of_regularization.ipynb source version 2024-02-13 03:34:51 +01:00
Inspecting_color_images.ipynb source version 2024-02-13 03:34:51 +01:00
Inspecting_grayscale_images.ipynb source version 2024-02-13 03:34:51 +01:00
Learning_rate_annealing.ipynb source version 2024-02-13 03:34:51 +01:00
Preparing_our_data.ipynb source version 2024-02-13 03:34:51 +01:00
Readme.md source version 2024-02-13 03:34:51 +01:00
Scaling_the_dataset.ipynb source version 2024-02-13 03:34:51 +01:00
Steps_to_build_a_neural_network_on_FashionMNIST.ipynb source version 2024-02-13 03:34:51 +01:00
Varying_batch_size.ipynb source version 2024-02-13 03:34:51 +01:00
Varying_learning_rate_on_non_scaled_data.ipynb source version 2024-02-13 03:34:51 +01:00
Varying_learning_rate_on_scaled_data.ipynb source version 2024-02-13 03:34:51 +01:00
Varying_loss_optimizer.ipynb source version 2024-02-13 03:34:51 +01:00

Errata

In the notebook covering batch normalization, the second half of the experiment was missing a model.eval() in val_loss function. Due to which the graphs were not accurate.

The graph presented in page 147 shown below
image

should actually be
image