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The Little Book of Deep Learning PDF

140 Pages·2023·English
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by ['sempiedram']| 2023| 140 pages| English

About The Little Book of Deep Learning

The document provides an overview of deep learning foundations. It discusses how machine learning models are trained on large datasets to learn representations and make predictions. Specifically, it describes how trainable parameters in a model are optimized to minimize a loss function measuring prediction error on the training data. As an example, it outlines kernel regression, where a linear combination of basis functions is fitted to data using least squares optimization.

Detailed Information

Author:['sempiedram']
Publication Year:2023
Pages:140
Language:English
Format:PDF
Price:FREE
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