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Hands-on deep learning : building models from scratch /

This book is designed for data scientists and machine learning engineers who are keen to dive deep into the complexities of deep learning.The book is particularly useful for professionals in industries where machine learning is applied.It serves as a comprehensive guide for those eager to explore an...

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Bibliographic Details
Main Author: Islam, Tanvir (Author)
Format: eBook
Language:English
Published: Cham : Springer, 2025.
Subjects:
Deep learning (Machine learning)
Apprentissage profond.
Electronic books.
Table of Contents:
  • "1-Introduction"
  • "2-Implementing the gradient descent algorithm"
  • "3-Training deep neural networks"
  • "4-Dealing with bias and variance"
  • "5-Leveraging advanced optimization techniques"
  • "6- Applying convolutional neural networks"
  • "7-Creating recurrent neural networks"
  • "8-Crafting long short-term memory networks"
  • "9-Using embeddings in language models"
  • "10-Assembling attention mechanisms and transformers".