Description

Book Synopsis

Chapter 1. Introduction.- Part I Fundamentals.- Chapter 2. Deep Learning.- Chapter 3. Topological Data Analysis.- Part II Interactions.- Chapter 4. Challenges in Deep Learning.- Chapter 5. Input and Output Spaces.- Chapter 6. Internal Representations and Activations.- Chapter 7. Training Dynamics and Loss Functions.- Chapter 8. Challenges, Future Directions, and Conclusions.

Topological Data Analysis for Neural Networks

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    A Paperback by Rubén Ballester

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      View other formats and editions of Topological Data Analysis for Neural Networks by Rubén Ballester

      Publisher: Springer
      Publication Date: 17/11/2025
      ISBN13: 9783032082824, 978-3032082824
      ISBN10:

      Description

      Book Synopsis

      Chapter 1. Introduction.- Part I Fundamentals.- Chapter 2. Deep Learning.- Chapter 3. Topological Data Analysis.- Part II Interactions.- Chapter 4. Challenges in Deep Learning.- Chapter 5. Input and Output Spaces.- Chapter 6. Internal Representations and Activations.- Chapter 7. Training Dynamics and Loss Functions.- Chapter 8. Challenges, Future Directions, and Conclusions.

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