In this repositery, you will find all the practical works realized in this course. This course covers the introduction to Neural Networks and Deep Learning.
In the following table, you will find all the concepts discovered in each practical work.
| Week n° | Topic |
|---|---|
| Week 1 | Starting with neural networks : Basic Classification |
| Week 2 | Training Neural Networks (Forward Propagation) |
| Week 3 | Training Neural Networks (Back Propagation) |
| Week 4 | Overfitting and regularization (DropOut method) |
| Week 5 | Optimization for Training Deep Models |
| Week 6 | Convolutional Neural Network (CNN) |
| Week 7 | Exam |
| Week 8 | Embedding and Representation Learning |
| Week 9 | Recurrent Neural Networks (RNN) |