├── .gitignore ├── LICENSE ├── README.md ├── classify-mnist.py ├── mnist-dataset ├── t10k-images-idx3-ubyte ├── t10k-images-idx3-ubyte.gz ├── t10k-labels-idx1-ubyte ├── t10k-labels-idx1-ubyte.gz ├── train-images-idx3-ubyte ├── train-images-idx3-ubyte.gz ├── train-labels-idx1-ubyte └── train-labels-idx1-ubyte.gz └── neuralnetwork.py /.gitignore: -------------------------------------------------------------------------------- 1 | .vscode 2 | __pycache__ 3 | savepoint.pkl -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/README.md -------------------------------------------------------------------------------- /classify-mnist.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/classify-mnist.py -------------------------------------------------------------------------------- /mnist-dataset/t10k-images-idx3-ubyte: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/mnist-dataset/t10k-images-idx3-ubyte -------------------------------------------------------------------------------- /mnist-dataset/t10k-images-idx3-ubyte.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/mnist-dataset/t10k-images-idx3-ubyte.gz -------------------------------------------------------------------------------- /mnist-dataset/t10k-labels-idx1-ubyte: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/mnist-dataset/t10k-labels-idx1-ubyte -------------------------------------------------------------------------------- /mnist-dataset/t10k-labels-idx1-ubyte.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/mnist-dataset/t10k-labels-idx1-ubyte.gz -------------------------------------------------------------------------------- /mnist-dataset/train-images-idx3-ubyte: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/mnist-dataset/train-images-idx3-ubyte -------------------------------------------------------------------------------- /mnist-dataset/train-images-idx3-ubyte.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/mnist-dataset/train-images-idx3-ubyte.gz -------------------------------------------------------------------------------- /mnist-dataset/train-labels-idx1-ubyte: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/mnist-dataset/train-labels-idx1-ubyte -------------------------------------------------------------------------------- /mnist-dataset/train-labels-idx1-ubyte.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/mnist-dataset/train-labels-idx1-ubyte.gz -------------------------------------------------------------------------------- /neuralnetwork.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sar-gupta/neural-network-from-scratch/HEAD/neuralnetwork.py --------------------------------------------------------------------------------