ML/DL - IIT Bombay Course

TensorFlow | Keras | PyTorch

Code repository for IIT Bombay ML/DL course (2021).

Contents of the code repository:

Machine Learning part:

1. Linear Regression - Includes SkLearn-based implementation and code from scratch.
2. Logistic Regression - Includes SkLearn-based implementation and code from scratch.
3. K Nearest Neighbors classifier
4. K Means clustering - Code to handle a segmentation task.
5. Decision tree classifier
6. Naive Bayes
7. Support vector machine classifier

Deep Learning part:

1. Fully connected networks
2. Convolutional neural networks - For both image and NLP.
3. Recurrent neural network - For NLP.
4. VGG Net - Using pretrained network and finetuning and its implementation from scratch.
5. Speech and NLP tasks
6. Image captioning
7. Image to image translation
8. Machine translation of language.
9. Multitask learning.
10. Autoencoder for image denoising.
11. VAE for mnist.
12. U Net for image segmentation.
13. RCNN for airplane detection.