Here are the top 5 AI coding platforms and why they are considered as such:
TensorFlow – TensorFlow is a popular AI coding platform that is widely used by developers due to its flexibility, scalability, and support for multiple programming languages such as Python, C++, and Java. Developed by Google, it provides a range of pre-built models and tools that enable developers to create and train custom AI models easily.
PyTorch – PyTorch is a highly regarded AI coding platform that is known for its ease of use and dynamic computational graphs. Developed by Facebook\’s AI research team, it allows developers to build neural networks and deep learning models with ease and speed.
Keras – Keras is another popular AI coding platform that is known for its simplicity and ease of use. Written in Python, it is a high-level API that can run on top of TensorFlow, CNTK, or Theano. It is widely used for building neural networks and deep learning models, and it allows developers to prototype and experiment with models quickly.
Caffe – Caffe is a deep learning framework that is widely used for image and video classification and processing. Developed by the Berkeley Vision and Learning Center (BVLC), it is known for its speed and scalability. It provides pre-trained models for image and video classification, and it can be easily integrated into other deep learning frameworks.
Microsoft Cognitive Toolkit (CNTK) – CNTK is an AI coding platform developed by Microsoft that is known for its speed and scalability. It supports various programming languages such as C++, Python, and C#, and it allows developers to train deep learning models easily. It also provides pre-built models and tools for speech and image recognition, as well as natural language processing.