Hands-on deep learning algorithms with python : master deep learning algorithms with extensive math by implementing them using TensorFlow

Hands-on deep learning algorithms with python master deep learning algorithms with extensive math by implementing them using TensorFlow

Understand basic-to-advanced deep learning algorithms, the mathematical principles behind them, and their practical applications. Key Features: Get up to speed with building your own neural networks from scratch; Gain insights into the mathematical principles behind deep learning algorithms; Impleme...

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Detalles Bibliográficos
Autor principal: Ravichandiran, Sudharsan (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt 2019.
Materias:
TensorFlow.
Python (Computer program language)
Machine learning.
Application software > Development.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630989506719
Tabla de Contenidos:
  • Section 1: Getting Started with Deep Learning
  • Chapter 1: Introduction to Deep Learning
  • Chapter 2: Getting to Know TensorFlow
  • Section 2: Fundamental Deep Learning Algorithms
  • Chapter 3: Gradient Descent and Its Variants
  • Chapter 4: Generating Song Lyrics Using RNN
  • Chapter 5: Improvements to the RNN
  • Chapter 6: Demystifying Convolutional Networks
  • Chapter 7: Learning Text Representations
  • Section 3: Advanced Deep Learning Algorithms
  • Chapter 8: Generating Images Using GANs
  • Chapter 9: Learning More about GANs
  • Chapter 10: Reconstructing Inputs Using Autoencoders
  • Chapter 11: Exploring Few-Shot Learning Algorithms
  • Appendix A: Assessments
  • Other Books You May Enjoy
  • Index.

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