Description
Book Synopsis: A highly accessible, step-by-step introduction to deep learning, written in an engaging, question-and-answer style.
The Little Learner introduces deep learning from the bottom up, inviting students to learn by doing. With the characteristic humor and Socratic approach of classroom favorites The Little Schemer and The Little Typer, this kindred text explains the workings of deep neural networks by constructing them incrementally from first principles using little programs that build on one another. Starting from scratch, the reader is led through a complete implementation of a substantial application: a recognizer for noisy Morse code signals.
Example-driven and highly accessible, The Little Learner covers all of the concepts necessary to develop an intuitive understanding of the workings of deep neural networks, including tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks, and automatic differentiation. Conversational style, illustrations, and question-and-answer format make deep learning accessible and fun.
Incremental approach constructs advanced concepts from first principles
Presents key ideas of machine learning using a small, manageable subset of the Scheme language
Suitable for anyone with knowledge of high school math and some programming experience.
Details
Are you ready to take the next step in your journey to becoming a deep learning expert? Look no further than The Little Learner: A Straight Line to Deep Learning! This highly accessible book takes you on a step-by-step adventure into the world of deep learning, using a question-and-answer style that will engage your curiosity.
Unlike other complicated and dry textbooks, The Little Learner invites you to learn by doing. With its characteristic humor and Socratic approach, this book takes you from the ground up, gradually building your knowledge and understanding. Through the use of little programs that build on one another, you'll construct deep neural networks from first principles.
What sets The Little Learner apart is its example-driven and highly accessible approach. With clear illustrations and a conversational style, you'll develop an intuitive understanding of deep neural networks. You'll explore essential concepts such as tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks, and automatic differentiation.
Whether you're a student, a professional, or someone with a passion for artificial intelligence, The Little Learner is suitable for anyone with high school math knowledge and some programming experience. Don't miss out on the opportunity to gain a solid foundation in deep learning in a fun and engaging way!
Ready to dive into the world of deep learning? Get your copy of The Little Learner: A Straight Line to Deep Learning today by clicking here!
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