PyNet

Implementation of Basic Neural Networks, Deep Learning algorithms and architechtures from scratch.

I implement neural networks and basic deep learning algorithms literally from scratch(Only using numpy package).

Purpose:

• To learn them deeply.
• Have coding experience.
• Implement code from research paper.

Navigate:

1. Single Neuron
2. Single Layer
3. DeepLayers
4. Regularization
5. Optimization problems
6. SGD and Mini batch GD
7. GD with momentum, RMSProp and Adam
8. Batch normalization
9. Convolution operation
10. Pooling
11. RNN
12. GRU

Resources:

1. Deep Learning Specialization
2. Research Papers(Just Google them).