Libraries and Packages for Neural Network Frameworks

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Here is a comprehensive list of popular libraries and packages commonly used in the field of deep learning:

1. Deep Learning Frameworks

• TensorFlow: An open-source deep learning framework developed by Google.
• PyTorch: An open-source deep learning framework developed by Facebook.
• Keras: A high-level neural networks API (now integrated with TensorFlow as its official high-level API).

2. Neural Network Libraries

• Caffe: A deep learning framework developed by the Berkeley Vision and Learning Center.
• MXNet: An open-source deep learning framework designed for efficiency and flexibility.
• Chainer: A deep learning framework in Python for neural networks.

3. Numerical Computation Libraries

• NumPy: A fundamental package for scientific computing with Python.
• SciPy: A library for scientific and technical computing built on NumPy.
• Theano: A numerical computation library for Python, particularly used for deep learning.

4. AutoML (Automated Machine Learning)