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Projects in Awesome Lists tagged with batchnorm

A curated list of projects in awesome lists tagged with batchnorm .

https://github.com/jack-willturner/batchnorm-pruning

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124

batchnorm deep-learning lasso pruning sgd

Last synced: 03 Apr 2025

https://github.com/zmyzheng/neural-networks-and-deep-learning

Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

adam autonomous-driving batchnorm cnn dropout face-recognition hyperparameter-tuning keras lstm music-generation natural-language-processing neural-style-transfer regularization residual-networks rnn speech-recognition tensorflow translation xavier-he-initialization yolo

Last synced: 07 May 2025

https://github.com/techpro-studio/nntoolkitcore

Cross-platform mobile Neural network C library for training and inference on the device. CPU only. It fits for time-series data.

accelerate android audio-processing batchnorm conv1d dense dft gru ios lstm macos neural-network nn-filters rnn spectrogram watchos

Last synced: 06 Apr 2025

https://github.com/mindee/problem-of-batchnorm

Playground repository to highlight the problem of BatchNorm layers for an blog article

batch-normalization batchnorm deep learning model normalization tricks

Last synced: 08 Apr 2025

https://github.com/fk128/batchnorm-transferlearning

Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning. TL;DR: Fine-tuning only the batch norm affine parameters leads to similar performance as to fine-tuning all of the model parameters

batchnorm batchnormalization tensorflow2 transfer-learning

Last synced: 04 Apr 2025

https://github.com/dansolombrino/biscuits

A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos

batchnorm cnn cnns convolutional-neural-networks deep-learning deep-neural-networks resnet resnets

Last synced: 01 Apr 2025

https://github.com/arkanivasarkar/deep-learning-from-scratch

Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

activation-functions batchnorm cnn cross-entropy-loss deep-learning dropout feedforward-neural-network neural-network neural-networks-from-scratch numpy oops-in-python optimizer pooling rnn university-assignment

Last synced: 27 Mar 2025