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implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)

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Name		Name	Last commit message	Last commit date
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__pycache__		__pycache__
activations		activations
datasets/MNIST		datasets/MNIST
images		images
layers		layers
losses		losses
optimizers		optimizers
saves/DB		saves/DB
README.md		README.md
load_test.py		load_test.py
main.py		main.py
model.py		model.py
test.py		test.py

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Neural-Network-implementation-from-scratch

implementation of Neural Network only use `numpy`

layers
losses
- Binary Cross Entropy
- Mean Squared Error
activation functions
- sigmoid
- relu
- linear
optimizers
- SGD
- Adam
test FC
conv test

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implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)

deep-learning neural-network numpy cnn sgd convolution gradient-descent ann maxpooling adam fully-connected-network adam-optimizer implementation-from-scratch sigmoid-activation relu-activation

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