This repository contains all of the python code implementations for each topic in the course outline for Deep Learning
Course Outline: https://believed-bongo-319.notion.site/CCDEPLRL-d9ba385d265a46c3b5c089912eeea190?pvs=4
| Folder Name | Topic |
|---|---|
| Week 1 - Introduction to Tensorflow and Tensorflow lite | |
| Week 2 - Introduction to Deep Learning | The perceptron, Building Neural Networks |
| Week 3 - Training Neural Networks | Loss Optimization, Gradient Descent, Backpropagation |
| Week 4 and 5 - Neural Networks in Practice | Mini-batches and Overfitting |
| Week 6 - What Computers "See" | Convolution and Convolutional Neural Networks |
| Week 7 | |
| Week 8 and 9 - Deep Sequence Modeling | Recurrent Neural Networks |
| Week 10 - Self Attention with Neural Networks | Intuition and Application |
| Week 11, 12 and 13 - Deep Generative Modeling | Diffusion and Large Language Models |