Deep Learning for humans

This project is a tool to build CheXNet-like models, written in Keras.

TensorFlow Tutorials with YouTube Videos

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

Keras code and weights files for popular deep learning models.

Playing Wechat Jump Game with End-to-End Convolutional Neural Networks

Resources and codes about transfer learning and domain adaptation--迁移学习

python 微信《跳一跳》辅助

A pytorch reimplementation of CheXNet

TensorFlow implementation of GoogLeNet and Inception for image classification.

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

Image recognition training with TensorFlow Inception and transfer learning

Design patterns implemented in Java

Models and examples built with TensorFlow

Sequence to Sequence Learning with Keras

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

Domain-Adversarial Neural Network in Tensorflow

Creat your own dataset with the similar format with CIFAR10 in python version.

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

CNN visualization tool in TensorFlow

Some interesting TensorFlow tutorials for beginners.

in progress