Intermediate Deep Learning with Pytorch

Training Robust Neural Network 

• Pytorch and OOP.

• Optimizers.

• Vanishing and Exploding Gradients.

Images and CNN

• Handling images with Pytorch.

• Training and Evaluating Convolutional networks.

• Data Augmentation.

Sequences and RNN

• Handling sequences with Pytorch.

• Training and Evaluating recurrent networks (LSTM and GRU)

Multi-Input and Multi-Output Architectures

• Multi-input models.

• Multi-output models.

• Loss Weighting.