AI（人工知能）モデルやAIアプリケーションを開発する上で、フレームワーク（特定の機能を持つプログラムの開発を支援するプログラム部品やドキュメントの集合体）の選択は需要だ。AI技術の中核を担う深層学習（ディープラーニング）モデル開発の主要 ...

ログインして、InfoQのすべての体験をアンロックしましょう！お気に入りの著者やトピックの最新情報を入手し、コンテンツと交流し、限定リソースをダウンロードできます。 Horace He氏は先頃、"The State of Machine Learning Frameworks in 2019"と題した要約記事を公開 ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Artificial Intelligence (AI) is a rapidly growing field with numerous applications, including computer vision, natural language processing (NLP) and speech recognition. To develop these AI ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Microsoft is stepping up its support for enterprise customers that are using Facebook's PyTorch deep-learning framework on the Microsoft Azure cloud. Microsoft has been contributing to the open-source ...