MATLAB deep learning: with machine learning, neural networks and artificial intelligence
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence" by Phil Kim is a comprehensive guide to deep learning using MATLAB. The book covers various topics related to deep learning such as machine learning, neural networks, and artificial intelligence.
The book starts with an introduction to MATLAB and its deep learning toolbox, followed by an overview of deep learning and its applications. The author then covers various machine learning techniques such as linear regression, logistic regression, and decision trees.
The latter part of the book delves into neural networks and their implementation using MATLAB. The author covers various neural network architectures such as feedforward neural networks, convolutional neural networks, and recurrent neural networks. The book also covers techniques for training and fine-tuning neural networks.
Finally, the book covers artificial intelligence techniques such as reinforcement learning and deep reinforcement learning using MATLAB.
Overall, "MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence" is a great resource for anyone who is interested in learning how to use MATLAB for deep learning. The book provides a solid foundation in MATLAB and its deep learning toolbox, and covers various techniques for machine learning, neural networks, and artificial intelligence.
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