Deep learning crash course : a hands-on, project-based introduction to artificial intelligence / by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Joana B. Pereira, and Carlo Manzo.

Format:

Book

Author/Creator:

Volpe, Giovanni (Physicist), Author.

Midtvedt, Benjamin, author.

Pineda, Jesús, author.

Klein Moberg, Henrik, 1996- author.

Bachimanchi, Harshith, author.

Pereira, Joana B., author.

Manzo, Carlo, author.

Language:

English

Subjects (All):

Deep learning (Machine learning).

Physical Description:

1 online resource.

Place of Publication:

San Francisco, CA : No Starch Press, [2026]

Summary:

"A comprehensive, hands-on guide to deep learning using Python, combining theoretical concepts with practical examples and step-by-step code implementation. Covers foundational topics as well as advanced subjects such as generative models and reinforcement learning"-- Provided by publisher.

Contents:

Building and training your first neural network

Capturing trends and patterns with dense neural networks

Processing images with convolutional neural networks

Enhancing, generating, and analyzing data with autoencoders

Segmenting and analyzing images with U-Nets

Training neural networks with self-supervised learning

Processing timeseries and language with recurrent neural networks

Performing NLP and classifying images with attention and transformers

Creating and transforming images with generative adversarial networks

Implementing generative AI with diffusion models

Modeling molecules and complex systems with graph neural networks

Continuously improving performance with active learning

Mastering decision-making with deep reinforcement learning

Predicting chaos with reservoir computing.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1559907147