Deep Learning with Python
Brian Murray
Deep Learning with Python is a comprehensive guide to building and training deep neural networks using Python and popular deep learning frameworks. Whether you are a beginner or an experienced data scientist, this book provides a detailed understanding of the theory and practical implementation of deep learning.
Starting with an introduction to deep learning, the book covers essential topics such as neural network architecture, training and optimization, regularization, and transfer learning. It also covers popular deep learning frameworks such as TensorFlow, Keras, and PyTorch.
The book includes practical examples and step-by-step instructions to help you build and train deep neural networks for a variety of applications, including image and speech recognition, natural language processing, and time series analysis. You will also learn how to use advanced techniques such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
With its comprehensive coverage of deep learning and practical examples, this book is an essential resource for anyone interested in building and training deep neural networks using Python and popular deep learning frameworks.
Duration - 4h 22m.
Author - Brian Murray.
Narrator - Ray Collins.
Published Date - Saturday, 27 January 2024.
Copyright - © 2024 Brian Murray ©.
Location:
United States
Description:
Deep Learning with Python is a comprehensive guide to building and training deep neural networks using Python and popular deep learning frameworks. Whether you are a beginner or an experienced data scientist, this book provides a detailed understanding of the theory and practical implementation of deep learning. Starting with an introduction to deep learning, the book covers essential topics such as neural network architecture, training and optimization, regularization, and transfer learning. It also covers popular deep learning frameworks such as TensorFlow, Keras, and PyTorch. The book includes practical examples and step-by-step instructions to help you build and train deep neural networks for a variety of applications, including image and speech recognition, natural language processing, and time series analysis. You will also learn how to use advanced techniques such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. With its comprehensive coverage of deep learning and practical examples, this book is an essential resource for anyone interested in building and training deep neural networks using Python and popular deep learning frameworks. Duration - 4h 22m. Author - Brian Murray. Narrator - Ray Collins. Published Date - Saturday, 27 January 2024. Copyright - © 2024 Brian Murray ©.
Language:
English
Opening Credits
Duration:00:00:16
I Introduction to deep learning
Duration:00:34:32
II Getting started with deep learning
Duration:00:20:57
III Neural networks and layers
Duration:00:07:40
IV Data preparation and preprocessing
Duration:00:14:55
V training deep neural networks
Duration:00:54:23
VI Deep learning frameworks
Duration:00:04:36
VII Deep learning applications
Duration:00:26:48
VIII Advanced deep learning techniques
Duration:00:07:26
IX Deploying deep learning models
Duration:00:27:39
X Case studies
Duration:00:37:03
XI Conclusion
Duration:00:25:28
Ending Credits
Duration:00:00:17