Titlebook: Computational Methods for Deep Learning; Theory, Algorithms, Wei Qi Yan Textbook 2023Latest edition The Editor(s) (if applicable) and The

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Magisterial

Trade Unions and Class ConsciousnessThis chapter covers the fundamentals of deep learning, therefore, we present relevant knowledge in chronological order so as to fully introduce the history of deep learning development; meanwhile, we review how to use MATLAB, TensorFlow, software R, and WEKA from New Zealand, etc., as typical platforms for developing deep learning applications.

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混沌

Introduction,This chapter covers the fundamentals of deep learning, therefore, we present relevant knowledge in chronological order so as to fully introduce the history of deep learning development; meanwhile, we review how to use MATLAB, TensorFlow, software R, and WEKA from New Zealand, etc., as typical platforms for developing deep learning applications.

Allege

Reinforcement Learning,In this chapter, we introduce fundamental concepts of reinforcement learning?[.] such as Bellman equation, Q-learning, deep Q-learning, and double Q-learning. We detail why reinforcement learning?is thought as a method of deep learning.

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