#

batch-normalization

Here are 187 public repositories matching this topic...

cserajdeep / DNN-IRIS-PyTorch

Deep Neural Network with Batch normalization for tabulat datasets.

deep-learning cuda dnn batch batch-normalization classification iris-dataset

Updated Jun 26, 2021
Jupyter Notebook

mohit1997 / DeepLearnLib

Deep Learning Library

deep-neural-networks deep-learning batch-normalization adam-optimizer

Updated Nov 21, 2018
Python

khare19yash / CS231n

CS231n course assignment

python tensorflow cnn lstm dropout gan style-transfer batch-normalization rnn network-visualization svm-training captioning-images pooling knn-classifier

Updated Jun 3, 2018
Jupyter Notebook

shrutigrover / Question-Answer-System

Use NLP techniques to improve baseline model performance of a Question Answering problem

natural-language-processing deep-learning pytorch batch-normalization hyperparameter-optimization squad

Updated Aug 23, 2019
Python

Chinmaya-Hegde / Computer-Vision

tensorflow keras python3 batch-normalization cnn-keras cnn-model keras-tensorflow oxford102 cnn-classification tensorflow2

Updated Jan 21, 2020
Jupyter Notebook

meryemtetik / Image_Classification

CIFAR10 Dataset.

batch-normalization image-classification convolutional-neural-networks flatten conv2d early-stopping

Updated Jul 12, 2023
Jupyter Notebook

HariShanmugavelu / BuildingNeuralNetworks_GoogleStreetView

Building Deep Neural Network for Google Street View Dataset

machine-learning neural-network batch-normalization learning-rate softmax tensorflow2

Updated Apr 3, 2021
Jupyter Notebook

tooth2 / House-Number-Recognition

Using DCGAN, detect and recognize house number from google street view

generator discriminator batch-normalization deep-convolutional-neural-networks dcgan-pytorch

Updated Feb 20, 2021
Jupyter Notebook

tanjeffreyz / batch-normalization

PyTorch implementation of batch normalization from "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift" by Sergey Ioffe, Christian Szegedy

pytorch mnist batch-normalization internal-covariate-shift

Updated Sep 12, 2022
Python

Hsnmhmd / Vision

in this repo, you will find implementation of various classification models, data augmantation ,cnn designing and model reguralization

cnn dnn batch-normalization image-classification mlp transfer-learning data-augmentation mlp-classifier model-tuning resnet-101 dropout-layers

Updated Dec 27, 2022
Jupyter Notebook

hugohiraoka / Identifying_Plant_Seedlings_Images

A CNN model to identify images of plant seedlings.

batch-normalization regularization convolutional-neural-networks class-imbalance hyperparameter-tuning gaussian-blur early-stopping

Updated Aug 31, 2023
HTML

byelipk / deeper-mnist

Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.

tensorflow mnist batch-normalization softmax-regression he-initializer elu-activation adam-optimizer

Updated Mar 22, 2017
Python

arturops / deep-learning

Deep Learning practice projects and tutorials. Forked from the Deep Learning Nanodegree Foundations program at Udacity.

reinforcement-learning deep-learning word2vec embeddings lstm gan batch-normalization rnn autoencoder tensorboard convolutional-neural-networks transfer-learning tensorflow-models dcgan-tensorflow lstm-sentiment-analysis seq2seq-tensorflow

Updated May 21, 2018
Jupyter Notebook

BupyeongHealer / 2019_cau_oss_hackathon_Custom

Our custom AI Pipeline on image classification for 2019 Chung-ang-University-hackathon.

deep-neural-networks batch-normalization adam-optimizer relu-layer

Updated Aug 24, 2019
Jupyter Notebook

chandnii7 / Convolutional-Neural-Network

Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.

tensorflow keras inference optimizer batch-normalization mnist-dataset convolutional-neural-networks hyperparameter-tuning learning-rate loss-functions layer-normalization weight-initializers receptive-field dilated-convolution strided-convolutions epochs dropout-keras

Updated Dec 25, 2020
Jupyter Notebook

akash18tripathi / Exploring-MultiLayer-Perceptrons

This GitHub repository explores the importance of MLP components using the MNIST dataset. Techniques like Dropout, Batch Normalization, and optimization algorithms are experimented with to improve MLP performance. Gain a deeper understanding of MLP components and learn to fine-tune for optimal classification performance on MNIST.

pytorch batch-normalization mnist-dataset optimization-algorithms loss-functions multilayer-perceptron-network stochastic-gradient-descent mini-batch-gradient-descent dropout-layers

Updated Jun 12, 2023
Jupyter Notebook

fabianschilling / thesis-code

Code for my master thesis about convolutional neural networks and batch normalization

deep-learning torch batch-normalization image-classification convolutional-neural-networks

Updated Mar 22, 2017
Lua

swethalahari / SVHN

Image Classification using Neural Networks

neural-network batch-normalization image-classification svhn stochastic-gradient-descent multiclass-classification relu knn-classifier cross-entropy-loss

Updated Sep 11, 2020
Jupyter Notebook

skj092 / Ann-Experiments

Use ML-FLOW and TensorFlow2.0(Keras) to record all the experiments on the Fashion MNIST dataset.

batch-normalization gradient-descent weight-initialization activation-functions ml-flow

Updated Nov 21, 2022
Jupyter Notebook

lovesaroha / Learning-Neural-Networks

Various concepts of neural networks applied in python (numpy) to help people get started with AI.

python neural-network numpy dropout batch-normalization logistic-regression regularization gradient-descent

Updated Sep 17, 2021
Python

Improve this page

Add a description, image, and links to the batch-normalization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the batch-normalization topic, visit your repo's landing page and select "manage topics."