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Fundamentals of deep learning: designing next - generation machine intelligence algorithms

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms" by Nikhil Buduma is a comprehensive guide to deep learning. The book covers various topics related to deep learning such as neural networks, convolutional neural networks, and recurrent neural networks.

The book starts with an introduction to deep learning and its applications, followed by an overview of neural networks and their architectures. The author then covers various deep learning techniques such as gradient descent, backpropagation, and regularization.

The latter part of the book delves into specific deep learning architectures such as convolutional neural networks for image recognition and recurrent neural networks for natural language processing. The author covers various techniques for building and training these networks, as well as techniques for optimizing their performance.

The book also includes practical examples and code snippets for implementing deep learning models using popular frameworks such as TensorFlow and Keras. The author also discusses ethical considerations and challenges associated with deep learning.

Overall, "Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms" is a great resource for anyone who is interested in learning about deep learning. The book provides a solid foundation in neural networks and their architectures, and covers various techniques for building and training deep learning models. The practical examples and code snippets make it easy to apply these techniques to real-world problems using popular deep learning frameworks.

Call no. : 006.31 B927

Từ khóa: Artificial intelligence, Deep learning, Machine learning, Neural networks (Computer science), Locascio, Nicholas.

11 p ovanketv4 09/05/2023 285 4

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