Above are some of the projects I have done this summer. I am still experimenting with the Feedforward Neural Network and Vanilla RNN from scratch using numpy and I am in the process of learning about different features such as optimization like RMSProp or Adam. Until now, all of my projects (except the ones I did through PyTorch) are using simple Gradient Descent.
- Professor Andrew Ng's ML Class
- Stanford Computer Vision Youtube lectures
- PadhAI Intro to DataScience
- PadhAI Deep Learning
- University of Michigan Computer Vision Lecture Recordings and Assignments