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GitHub topics: sgd-moment

srinadhu/convolutional_nn

Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSProp and Adam. Implemented three block ResNet in PyTorch, with 10 epochs of training achieves 73.60% accuracy on test set.

Language: Jupyter Notebook - Size: 713 KB - Last synced: 5 months ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 1

Related Keywords
adam-optimizer 1 batch-normalization 1 cifar-10 1 convolutional-neural-networks 1 cs231n-assignment 1 dropout 1 fully-connected-deep-neural-network 1 pytorch 1 pytorch-cnn-classification 1 rmsprop 1 sgd-moment 1 sgd-optimizer 1