List of Artificial Neural Network Software

Product Description

Chainer is a powerful deep learning framework. Chainer supports CUDA computation, requiring only a few lines of code to use GPUs. It also runs on multiple GPUs. Chainer supports a wide range of network architectures, including feed-forward networks, convolutional networks, recurrent networks, ...

Product Description

Keras is an open-source library that provides a Python interface for building artificial neural networks. Keras focuses on reducing cognitive load by offering consistent and simple APIs, minimizing the number of steps needed for common tasks, and delivering clear, actionable error messages. It ...

Product Description

Google Cloud Deep Learning Containers offer a set of performance-optimized Docker containers pre-configured with essential data science frameworks, libraries, and tools. Designed to provide a consistent and portable environment, these containers allow developers and data scientists to quickly ...

Product Description

Google Cloud Deep Learning VM Image is a powerful solution designed to help developers and data scientists launch deep learning projects rapidly. It allows you to quickly provision virtual machines (VMs) pre-configured with the most popular AI frameworks, including TensorFlow, PyTorch, and ...

Product Description

The NVIDIA Deep Learning GPU Training System (DIGITS) empowers engineers and data scientists by streamlining the deep learning process. With DIGITS, users can efficiently train high-accuracy deep neural networks (DNNs) for tasks like image classification, segmentation, and object detection. ...

Product Description

AWS Deep Learning AMIs (DLAMI) offer machine learning (ML) practitioners and researchers a curated, secure collection of frameworks, dependencies, and tools to expedite deep learning on Amazon EC2. DLAMI supports scaling advanced ML models to safely build autonomous vehicle (AV) technology by ...