- Installation of Pytorch
- Basics of Torch and Tensor creation
- Arithmetic operations
- Statistical operation
- Introduction to Pytorch
- Automatic differentiation
- Dataset creation
- Data loader in pytorch
- Data visualization
- Building a single layer perceptron
- Altering the learning rate
- Altering the batch size
- Altering the number of epochs
- Using the same model on another dataset
- Implementing backpropagation algorithm from scratch
- Learnt about the basic steps of CNN
- Learnt about image processing and classification
- Learnt about NLP
- Data Preprocessing steps of NLP
- Learnt about text classification
- Performed classification through LSTM and GRU