Coursework pertaining to CS5480 : Deep Learning offered in Spring 2018
- Basic Probability and Statistics
- Backpropagation and Matrix Calculus
- Tutorial on PyTorch
- Perform classification task using Multi-layer perceptrons on the Occupancy Detection dataset with PyTorch
- Experimenting the effect of Batch Normalization, Dropout and other special random initializations on a simple convolutional neural network on MNIST dataset
- Code an RNN and LSTM using NumPy
- Try on some data
- Randomize everything Neural Networks. Please view the
README.md
in theProject
directory for more information.