- BEFORE WE START...........PLEASE READ THIS
- Introduction to RNNs Part 1
- Introduction to RNNs Part 2
- Test Your Understanding
- Playing with the Activations
- LSTMs
- LSTM Variants
- LSTM Step-by-Step Example Walktrough
- Sequence Modeling
- Attention Mechanism in LSTMs
- How Attention Mechanisms Work
- Installing PyTorch and an Introduction
- Torch Tensors Part 1
- Torch Tensors Part 2
- Numpy Bridge, Tensor Concatenation ad Adding Dimensions
- The Dataset
- Processing the Dataset Part 1
- Processing the Data Part 2
- Processing the Dataset Part 3
- Processing the Dataset Part 4
- Processing the Words
- Processing the Text
- Processing the Text Part 2
- Filtering the Text
- Getting Rid of Rare Words
- Preparing the Data for Model Part 1
- Understanding the zip function
- Preparing the Data for Model Part 2
- Preparing the Data for Model Part 3
- Preparing the Data for Model Part 4
- Understanding the Encoder
- Defining the Encoder
- Understanding Pack Padded Sequence
- Designing the Attention Model
- Designing the Decoder Part 1
- Designing the Decoder Part 2
- Creating the Loss Function
- Teacher Forcing
- Visualize Training Part 1
- Visualize Training Part 2
- Training
- Proceeding
- Transformers