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cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

cnn-techniques

Comparison analysis of 11 convolutional neural networks usingTensorFlow on the CIFAR-10 dataset. (Max Pooling, Local Response Normalization, Batch Normalization, Dropout, Data Augmentation)

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepinterestnetwork

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-world

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

models

Models and examples built with TensorFlow

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

tensorflow-from-zero-to-one

记录自己学习TensorFlow的笔记和代码

tensorflow-mnist-cnn

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

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos