Created this repository to implement the very underlying mathematical concepts.
I ihave implemented from very basic McCullouh-Pit's Neuron to Encoder-Decoder models.
Viewing them in colab would be appretiated :)
Sequence goes :
1.Feed Forward Networks [notebook]
2.Vectorized version - FFNs [notebook]
3.Backpropagation [notebook]
4.Learning Algorithms [notebook]
5.GD Algorithms [notebook]
6.Activation and Initialization [notebook]
7.PyTorch [notebook]
8.CNNs in PyTorch [notebook]
9.Deeper CNNs [notebook]
10.CNN Visualizations [notebook]
11.BatchNorm and Dropout [notebook]
12.HyperParamter tuning MLFlow [notebook]