Explain Deep Learning and Name some of the Deep Learning Frameworks

Deep Learning comes under the rubric of Machine Learning. It is a system that is used to create a model that will predict and solve problems using a handful of lines of coding. It is a neural network that is based on the functioning and structuring of a brain. Using its unique aspect of efficiency and accuracy, the systems of Deep Learning can even surpass the cognitive powers of the human brain.

Some of the most commonly and extensively used Deep Learning frameworks are:

  • TensorFlow
  • PyTorch
  • Keras
  • MXNet
  • Sonnet
  • ONNX
  • Chainer
  • Gluon
  • Swift for TensorFlow
  • DL4J