batchnorm

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

audio nlp swift deep-neural-networks deep-learning tensorflow optimizer cnn rnn callbacks augmentation batchnorm mixup ulmfit cyclegan-pytorch fastai-v3

Updated Jan 25, 2020
Jupyter Notebook

srinadhu / CS231n

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My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Updated Sep 5, 2018
Jupyter Notebook

revilokeb / vgg16_batchnorm

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VGG16 architecture with BatchNorm

caffe vgg16 weights pre-trained batchnorm

Updated Apr 4, 2017

xternalz / SDPoint

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Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

deep-neural-networks computer-vision deep-learning batch-normalization deep-learning-algorithms imagenet resnet regularization convolutional-networks convolutional-neural-networks resnext pooling batchnorm imagenet-dataset efficient-inference resnets preact-resnet downsampling efficient-model cost-adjustable

Updated Nov 5, 2019
Python

zmyzheng / Neural-Networks-and-Deep-Learning

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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

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

Updated Oct 3, 2018
Jupyter Notebook

ytoon / Synchronized-BatchNorm-PyTorch

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Synchronized BatchNorm in PyTorch 1.0

batchnorm synchronized-batchnorm

Updated Jan 18, 2019
Cuda

345ishaan / Digit-Classification-using-Numpy

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MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy

neural-network numpy mnist-classification digit-recognition backpropagation-algorithm batchnorm trained mnist-handwriting-recognition onlynumpy

Updated Jan 31, 2018
Python

vsooda / mxnet_merge_bn

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remove batchnorm when deploy mxnet model

mxnet remove batchnorm

Updated Dec 18, 2017
Python

Longqi-S / Conv_BatchNorm_Fusion

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fuse batch normalization layer and con layer in CNN

fusion batchnorm

Updated Mar 3, 2018
Python

code-cse / DL-using-Numpy

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This repository contains different implementation of deep learning model using Numpy.

deep-learning numpy cnn neural-networks batchnorm

Updated Jun 5, 2019
Python

qdm097 / MNIST-CNN

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Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.