santiagoahl/cifar10-classification

Image classification using a CNN architecture.

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stnamjef/SimpleNN

A simple neural network library in C++

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SSQ/Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Short description for quick search

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tomassykora/bidaf-question-answering

Bi-Directional Attention Flow (BiDAF) question answering model enhanced by multi-layer convolutional neural network character embeddings.

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sujatasaini/Kuzushiji-DropBlock

Japanese Handwritten Character Recognition using DropBlock Regulzarization

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ryanquinnnelson/CMU-11685-Frame-Level-Classification-of-Speech-using-Deep-Learning

Fall 2021 Introduction to Deep Learning - Homework 1 Part 2 (Frame Level Classification of Speech)

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DorisDuan06/Stanford-CS231n-Convolutional-Neural-Networks-for-Visual-Recognition

cs231n assignments.

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agusgun/UnderstandingGroupNorm

Understanding and Improving Group Normalization

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somjit101/MNIST-Classification-Keras

A simple study on the use of Keras framework (with Tensorflow background) for a simple handwritten number image classification task with Deep Neural Networks.

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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

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shinsumicco/pytorch-syncbn

Synchronized Multi-GPU Batch Normalization for PyTorch based on https://github.com/tamakoji/pytorch-syncbn

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anuvindbhat/batch-norm

An implementation of the technique of batch normalization on a feed forward neural network.

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mindee/Problem-of-BatchNorm

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

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kush1912/Facial-Emotion-Recognition

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nadernamini/cs182-assignment1

CS 182 Spring 2019 - Assignment 1

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ChaitanyaC22/Deep_Learning_Hand_Gesture_Recognition_Project

The objective of this project is to recognize hand gestures using state-of-the-art neural networks.

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jungsoh/gru-trigger-word-detection

Recurrent neural network with GRUs for trigger word detection from an audio clip

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busebozkurtt/Object-Detection-Using-CNN

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skj092/Ann-Experiments

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

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copev313/Deep-Learning-Introduction

A collection of deep learning exercises collected while completing an Intro to Deep Learning course. We use TensorFlow and Keras to build and train neural networks for structured data.

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cserajdeep/DNN-IRIS-PyTorch

Deep Neural Network with Batch normalization for tabulat datasets.

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somjit101/DCGAN-Gradient-Tape

A study of the use of the Tensorflow GradientTape class for differentiation and custom gradient generation along with its use to implement a Deep-Convolutional Generative Adversarial Network (GAN) to generate images of hand-written digits.

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MattMoony/convnet_mnist

Simple convolutional neural network (purely numpy) to classify the original MNIST dataset. My first project with a convnet. 🖼

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somjit101/MNIST-Classification-Tensorflow

A simple study on how to use Tensorflow platform (without Keras) for a simple number classification task using a Neural Network.

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kbmclaren/assn5-CMSC478-ML

The machine learning task in this assignment is image classification using Convolutional Neural Networks in Tensorflow and Keras

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NeerajHazarika/kaggle-intro-to-deeplearning

This is a report on what are the things that I have learned from the Kaggle course intro to deep learning.

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BupyeongHealer/2019_cau_oss_hackathon_Custom Fork of %{name} hskimhello/2019_cau_oss_hackathon

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

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sharnam19/Networks

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

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SwikarGautam/DeepDenseNetwork

Fully connected neural network with Adam optimizer, L2 regularization, Batch normalization, and Dropout using only numpy

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fatehtariq/MNIST-Classifier

Classic MNIST Dataset Digital Image classifier with the use of DeeperConvolutional Neural Networks.

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togheppi/compare_initializers

Comparison of various weight and bias initializers

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HarmanDotpy/Normalizations-in-Deep-Learning

Analysis of different types of common Normalization schemes in Deep Learning

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AFAgarap/vanishing-gradients

Avoiding the vanishing gradients problem by adding random noise and batch normalization

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tugot17/NF-Nets-Presentation

Presentation on Normalizer-Free (Res)Nets conducted at Wrocław University of Science and Technology on 10 March. 2021.

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fabianschilling/awesome-convnets

A list of papers I used for my thesis about convolutional neural networks and batch normalization

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manashpratim/Face-Recognition-

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bobye/batchnorm_prune

Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"

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AngusG/batch-norm-vulnerability

Master source code repo for "Batch Normalization is a Cause of Adversarial Vulnerability"

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nevoit/Deep-Neural-Network

Deep Neural Network that can classify images from the MNIST database

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WuZhuoran/deconvolution-tf

Tensorflow Version of [Network Deconvolution](https://github.com/yechengxi/deconvolution)

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mmarouen/Deep-Neural-Net

Flexible deep learning neural network. Implements a multi layer perceptron and autoencoders.

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Batserine/CNN_Fashion-MNIST-Classification

Initial understanding with PyTorch framework

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summmeer/miniProj

cifar10 classification based on alexnet and vgg16 using TensorFlow

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Develop-Packt/Performing-Style-Transfer-with-PyTorch

Perform style transfer using pretrained models. Create well-performing algorithms without having to gather large quantities of data.

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Develop-Packt/Introduction-to-Convolutional-Neural-Networks-with-PyTorch

Use CNNs to solve image classification problems using PyTorch. Improve your model's performance by applying data augmentation and batch normalization.

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absognety/EVA4

Extensive Vision AI Program from The School Of AI

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samridhishree/Deeplearning-Models

Deep learning models in Python

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symoon94/CNN-pytorch

CNN (pytorch ver.) (In progress)

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Phani2019/Music-generation-using-recurrent-neural-networks

Generation of music from a abc-notation inputs

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GOVINDDIXIT/Batch-Normalisation

This notebook shows you one way to add batch normalization to a neural network built in PyTorch.

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SwikarGautam/ConvoNet

A framework for implementing convolutional neural networks and fully connected neural network.

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being-aerys/Deep_Learning_CS535_Winter-2019

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matthiasludwig/deep-learning-udacity-material

Material from Udacity for the Deep Learning ND

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badbubble/Densenet-Tensorflow

使用Tensorflow实现DenseNet

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mohit1997/DeepLearnLib

Deep Learning Library

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shksa/Multi-Digit-number-recognition-in-natural-images

Using the SVHN datset, a deep cnn model is trained in pytorch with a slightly different training routine and another straight forward cnn model in keras

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MokoSan/BatchNormalizationExperiments

Batch Normalization is technique to improve training a Neural Network by reducing Covariant Shift and this repository contains experiments pertinent to the White Paper.

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satyaSK/Modulated-ConvNet-CIFAR10

ConvNet in Tensorflow to study the effect of Batch Normalization on the CIFAR-10 dataset

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TheNudibranch/Face-Recognition

This is a repository for the code and various numpy files that going along with the face recognition project.

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arturops/deep-learning Fork of %{name} udacity/deep-learning

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

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ksharsha/MNIST

Implementation of different networks for MNIST

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fabianschilling/thesis-code

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

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