Week 1: Learning basics of python, familiarise yourself with numpy and other python libraries
Week 2: Implementing PCA, logistic and linear regression using numpy
Week 3: Understanding PyTorch and using it to implement a simple feed forward neural network(option assignment: make the neural network using numpy only)
Week 4: Implementing convolution neural network (CNN) along with focus on thoroughly understanding its backpropogation step
Week 5: Understanding the basics of image super resolution
Week 6: Finalizing a research paper to implement and a dataset to go along with it
Week 7-8: Implementing the research paper
Note: If you feel that the SoC is basic or slow please feel free to contact us, there is a lot to learn ;)