Deep Learning and AI Superhero: An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques
1146861220
Deep Learning and AI Superhero: An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques
44.99 In Stock
Deep Learning and AI Superhero: An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques

Deep Learning and AI Superhero: An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques

by Cuantum Technologies LLC
Deep Learning and AI Superhero: An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques

Deep Learning and AI Superhero: An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques

by Cuantum Technologies LLC

eBook

$44.99 

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Product Details

ISBN-13: 9781837025862
Publisher: Packt Publishing
Publication date: 01/20/2025
Sold by: Barnes & Noble
Format: eBook
Pages: 698
File size: 2 MB

About the Author

Cuantum Technologies is a leading innovator in the realm of software development and education, with a special focus on leveraging the power of Artificial Intelligence and cutting-edge technology. They specialize in web-based software development, authoring insightful programming and AI literature, and building captivating web experiences with the intricate use of HTML, CSS, JavaScript, and Three.js. Their diverse array of products includes CuantumAI, a pioneering SaaS offering, and an array of books spanning from Python, NLP, PHP, JavaScript, and beyond. Through their services, they are constantly striving to demystify AI and technology, making it accessible, understandable, and useable for all.

Table of Contents

Table of Contents
  1. Introduction to Neural Networks and Deep Learning
  2. Deep Learning with TensorFlow 2.x
  3. Deep Learning with Keras
  4. Deep Learning with PyTorch
  5. Convolutional Neural Networks (CNNs)
  6. Recurrent Neural Networks (RNNs) and LSTMs
  7. Advanced Deep Learning Concepts
  8. Machine Learning in the Cloud and Edge Computing
  9. Practical Machine Learning Projects
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