Deep learning is a superset of machine learning incorporating algorithms influenced by the design and functionality of the human brain, known as the artificial intelligent neural network. It's represented in the form of supervised, semi-supervised, and unsupervised algorithms, where architectures profoundly concentrate on deep neural networks, deep belief networks, and recurrent neural networks. Deep learning today is widely accepted and utilized in industry as well as in R and D sectors in the field of computer vision, speech recognition, audio synthesis, image recognition, natural language processing, social media content moderation, and so on.
In this chapter, we will learn about the following topics:
- An overview of Microsoft CNTK and the MMLSpark framework, along with third-party deep learning tools
- TensorFlow and Keras, and the steps...