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Restricted Boltzmann Machines

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May 1, 2024 5 minute read

Restricted Boltzmann Machines (RBMs) are a type of neural network that is often used in deep learning applications. RBMs are generative models, meaning that they can learn to generate new data that is similar to the data that they were trained on. This makes them useful for tasks such as image generation, text generation, and music generation.

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We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Restricted Boltzmann Machines.
Provides a comprehensive overview of deep learning, including RBMs. It covers the theory behind deep learning, as well as practical techniques for training and using deep learning models.
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