{"id":1698,"date":"2022-03-23T19:12:29","date_gmt":"2022-03-23T19:12:29","guid":{"rendered":"https:\/\/jenniferkwentoh.com\/?p=1698"},"modified":"2022-06-01T15:54:14","modified_gmt":"2022-06-01T15:54:14","slug":"keras-vs-tensorflow-vs-pytorch-which-is-better-or-easier","status":"publish","type":"post","link":"https:\/\/jenniferkwentoh.com\/keras-vs-tensorflow-vs-pytorch-which-is-better-or-easier\/","title":{"rendered":"Keras vs TensorFlow vs PyTorch | Which is Better or Easier?"},"content":{"rendered":"\n
Keras, TensorFlow, and PyTorch are some of the most popular machine learning and deep learning frameworks<\/a> being used by professionals and newbies alike. <\/p>\n\n\n\n Deep learning is a subset of machine learning that uses neural networks to train models on large datasets. This compares three popular Deep Learning Frameworks: Keras, TensorFlow, and PyTorch. Here you’ll find key differences between these frameworks and will be able to decide which would be best for you.<\/p>\n\n\n\n TensorFlow is an open-source software library for machine learning research and development. It provides a set of tools for numerical computation using data flow graphs.<\/p>\n\n\n\n TensorFlow was originally developed by Google Brain team and released as open source software in November 2015.<\/p>\n\n\n\nWhat is TensorFlow?<\/h2>\n\n\n\n