Keras
記事

qiita.com 2019/08/30
towardsdatascience... 2019/05/17
qiita.com 2018/12/15
mizchi.hatenablog.... 2018/10/28
towardsdatascience... 2018/10/16
qiita.com 2018/04/25
keras.io 2016/05/31
リポジトリ

github.com 2018/11/05

📚 A practical approach to machine learning.

github.com 2018/08/05

100-Days-Of-ML-Code中文版

github.com 2018/04/17

一款入门级的人脸、视频、文字检测以及识别的项目.

github.com 2018/04/03

A Keras implementation of YOLOv3 (Tensorflow backend)

github.com 2018/01/19

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

github.com 2017/10/27

Set up deep learning environment in a single command line.

github.com 2017/10/19

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

github.com 2017/10/16

A neural network that transforms a design mock-up into a static website.

github.com 2017/09/07

Open Neural Network Exchange

github.com 2017/08/16

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

github.com 2017/08/09

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

github.com 2017/07/11

Keras implementations of Generative Adversarial Networks.

github.com 2017/05/24

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

github.com 2017/02/09

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

github.com 2016/09/30

Run Keras models in the browser, with GPU support using WebGL

github.com 2016/08/03

Keras code and weights files for popular deep learning models.

github.com 2016/07/02

Deep Reinforcement Learning for Keras.

github.com 2015/03/28

Deep Learning for humans

github.com 2015/01/23

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

github.com 2010/12/26

Visualizer for neural network, deep learning and machine learning models

動画

www.youtube.com 2018/11/26

AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka video on "Keras vs TensorFlow vs ...

www.youtube.com 2018/10/29

AI & Deep Learning Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** ) This Edureka Tutorial on "Keras Tutorial" (Deep Learning Blog Series: ...

www.youtube.com 2018/08/14

Getting started with Keras has never been easier! Not only is it built into TensorFlow, but when you combine it with Kaggle Kernels you don't have to install ...

www.youtube.com 2018/08/11

An updated deep learning introduction using Python, TensorFlow, and Keras. Text-tutorial and notes: ...

www.youtube.com 2018/07/20

Deep Learning has already conquered areas such as image recognition, NLP, voice recognition, and is a must-know tool for every Data Practitioner. This tutorial ...

www.youtube.com 2018/06/23

Boris Yakubchik of Forbes describes the widely popular Keras framework. Boris covers: getting started, workflow, tools you can use, and hands on examples.

www.youtube.com 2018/06/11

TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka Keras Tutorial TensorFlow video (Blog: https://goo.gl/4zxMfU) ...

www.youtube.com 2018/01/06

Whats the best way to get started with deep learning? Keras! It's a high level deep learning library that makes it really easy to write deep neural network models ...

www.youtube.com 2017/06/07

We'll train an image classifier in Keras using a Tensorflow backend, then serve it to the browser using a super simple Flask backend. We can then deploy this ...

www.youtube.com 2017/02/15

Keras has the goal to make deep learning accessible to everyone, and it's one of the fastest growing machine learning frameworks. Join Francois Chollet, the ...

参考書

www.amazon.co.jp 2017/04/28
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