note

Pythonで学ぶディープラーニングのサンプルコードとは？

1-1: Pythonによるディープラーニングの基礎知識 Pythonは、シンプルで読みやすい文法と豊富なライブラリが特徴のプログラミング言語で、ディープラーニングの実装にも広く用いられています。ディープラーニングは、ニューラルネットワークを用いてデータ ...
InfoWorld

The best machine learning and deep learning libraries

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...
GitHub

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

This repository contains exercises, projects, and code examples from the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron. Jupyter notebooks with code ...
The Next Web

Why TensorFlow for Python is dying a slow death

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...
Computerworld

Review: The best frameworks for machine learning and deep learning

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...