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GitHub topics: stanford-deep-learning

vansh-py04/Convolution-Net-from-Scratch

A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.

Language: Jupyter Notebook - Size: 271 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

superbinlee/awesome-ai-tut

记录AI学习过程

Language: Jupyter Notebook - Size: 536 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

Related Keywords
cnn 2 deep-learning 2 stanford-deep-learning 2 tensorflow2 1 stanford-machine-learning 1 rnn 1 ray 1 neural-networks 1 mechine-learing 1 lazy-programmer 1 gnn 1 ai 1 softmax 1 numpy 1 nueral-networks 1 maxpool2d 1 machine-learning 1 fully-connected-network 1 from-scratch-in-python 1 from-scratch 1 cs231n-assignment 1 cs231n 1 convolutional-neural-networks 1 computer-vision 1 backpropagation 1