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# neural-network-framework | ||
Build a Micro Neural Network Framework (like Pytorch or Tensorflow) using only Numpy | ||
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## Layers: | ||
### Main Blocks: | ||
- Fully Connected | ||
- Convolutional | ||
- RNN | ||
### CNN Blocks | ||
- Pooling | ||
- Flatten | ||
### RNN Blocks: | ||
- Dropout | ||
- Batch normalization | ||
### Activation Functions: | ||
- ReLU | ||
- Soft max | ||
- Sigmoid | ||
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## Optimization: | ||
### Optimizers: | ||
- Stochastic Gradient Descent | ||
- SGD With Momentum | ||
- Adam | ||
### Loss Functions: | ||
- Cross Entropy Loss | ||
### Regularizers: | ||
- L1 | ||
- L2 |