A MNIST-like fashion product database. Benchmark :point_right:

Collection of generative models in Tensorflow

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Collection of generative models in Pytorch version.

Lingvo

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Activation Maps (Layers Outputs) and Gradients in Keras.

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Tensorflow implementation of variational auto-encoder for MNIST

Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

A free audio dataset of spoken digits. Think MNIST for audio.

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Six snippets of code that made deep learning what it is today.

A small convolution neural network deep learning framework implemented in c++.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Generative Adversarial Network for MNIST with tensorflow

TensorLayer - A curated list of dedicated resources

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Early stopping for PyTorch

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

MNIST with TensorFlow Lite on Android

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.