| S.No | Topics | Link |
|---|---|---|
| 0 | Choosing a Framework : Tensor Flow/Pytorch | Tensorflow docs,Pytorch Docs |
| 1 | Perceptron Model | |
| 2 | ReLU /Leaky ReLU | |
| 3 | ADAM , RMS Prop & Momentum | |
| 4 | Artificial Neural Networks | |
| 5 | Convolutional Neural Networks | |
| 6 | Recurrent Neural Networks | |
| 7 | Transfer Learning | |
| 8 | Generative Networks | |
| 9 | Generative Adversarial Networks | |
| 10 | Transformers |
Note:
- To properly work with Text and image models a person is required to have a good understanding about the way a machine treats literature and images.
- Use platforms providing free GPU computation unless you have better hardware. Platforms: Google Colab,Kaggle
- Andrew Ng's Course (good for theoretical knowledge)
- Jose Portilla's Tensorflow Course
- Jose Portilla's Pytorch Course
🎉 Wohoo, that's all for now, practice more and get better at it
With ❤️ by ISTE-VIT