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Machine Learning Algorithms in Depth
book

Machine Learning Algorithms in Depth

by Vadim Smolyakov
January 2025
Intermediate to advanced
328 pages
8h 28m
English
Manning Publications
Audiobook available
Content preview from Machine Learning Algorithms in Depth

10 Fundamental deep learning algorithms

This chapter covers

  • Multilayer perceptron
  • Convolutional neural nets: LeNet on MNIST and ResNet image search
  • Recurrent neural nets: LSTM sequence classification and multi-input neural net
  • Neural network optimizers

In the previous chapter, we discussed selected unsupervised ML algorithms to help discover patterns in our data. In this chapter, we introduce deep learning algorithms. Deep learning algorithms are part of supervised learning, which we encountered in chapters 5, 6, and 7. Deep learning algorithms revolutionized the industry and enabled many research and business applications previously thought to be out of reach by classic ML algorithms. We’ll begin this chapter with the fundamentals, such ...

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Publisher Resources

ISBN: 9781633439214Publisher SupportPublisher Website