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Search results for keras residual networks

residual-networks x

28 search results found

Keras Resnet ⭐ 1,194

Residual networks implementation using Keras-1.0 functional API

Cifar 10 Cnn ⭐ 726

Play deep learning with CIFAR datasets

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Keras Classification Models ⭐ 301

Collection of Keras models used for classification

Keras Resnet ⭐ 273

Keras package for deep residual networks

Wide_resnets_keras ⭐ 137

Keras implementation + pretrained weights for "Wide Residual Networks"

Resunetplusplus ⭐ 135

Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation) (IEEE ISM)

Wide Residual Networks ⭐ 90

Wide Residual Networks in Keras

Residual_block_keras ⭐ 74

Residual network block in Keras

Very Deep Convnets Raw Waveforms ⭐ 64

Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf

Handwritten_digit_recognition ⭐ 46

Handwritten digit recognition with MNIST & Keras

Keras_detect_tool_wear ⭐ 29

Tool wear prediction by residual CNN

Residual Of Residual Networks ⭐ 20

Residual Network of Residual Networks in Keras

Keras Wrn ⭐ 17

A package of Wide Residual Networks for image recognition in Keras.

Res_nets_tutorial ⭐ 15

A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.

Myalphagozeroonconnect4 ⭐ 15

My Simple Implementation of AlphaGo Zero on Connect4

Super Resolution Net ⭐ 15

SRNet 的 Keras 实现

Retinal Disease Diagnosis With Residual Attention Networks ⭐ 13

Using Residual Attention Networks to diagnose retinal diseases in medical images

Rdnsr Residual Dense Network For Super Resolution Keras ⭐ 10

Residual Dense Network for Super Resolution implementation in Keras

Neural Networks And Deep Learning ⭐ 9

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

MDSR 的 Keras 实现

Implement Resnext With Keras ⭐ 7

This repository shows how to implement the ResNeXt networks with the Keras library.

Realtime_resnet50 ⭐ 7

Image classification using ResNet50. Image input from webcam.

Art Composition Cnn ⭐ 6

Training Art Composition Attributes on ResNet50

Keras Object Recognition ⭐ 5

Minimalist Keras implementation for performing object recognition with deep learning

Try Wide Residual Net ⭐ 5

A simple Wide ResNet implementation with Keras.

Cifar 10 Object Recognition In Images ⭐ 5

Implementing and comparing performance of various deep learning models on CIFAR-10 dataset

Keras_resnet ⭐ 5

Residual network for Keras

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