Some of the most popular Python libraries for deep learning include TensorFlow, PyTorch, NumPy, Sci-kit Learn, and Keras. Each library provides unique features tailored toward different ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Keras, a Python-based deep learning library, was developed to enable fast experimentation and ease of use for building and training deep neural networks. It works as an interface for the machine ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use Topics Spotlight: Advancing IT Leadership ...

This is an open source distributed deep learning library for the Java Virtual Machine. For Python developers, there is Scikit, a machine learning framework used for tasks including data mining ...

Today, the companies have announced their collaboration in the formation of Gluon, a new deep learning library which allows ... models by providing them with a Python API, along with prebuilt ...