Python Deep Learning – Third Edition is your comprehensive guide to mastering neural networks using the Python language. Authored by Ivan Vasilev, this book is your ticket to understanding the complexities of deep learning.
The good news is that Python Deep Learning—Third Edition, normally $39.99, is now available to you for free—but only for a short time!
About Python Deep Learning – Third Edition
Use Python to your advantage by learning how to navigate neural networks—including convolutions and transformers—so you can take on computer vision and natural language processing problems (NLP).
The area of deep learning has grown swiftly in recent years and now encompasses a wide variety of uses. Without proper context, this makes it difficult to understand and navigate.
This ebook will take you on a journey through neural networks, starting with the fundamentals and ending with the most advanced big language models available today.
The first section of the book covers the basic concepts and models in machine learning. It explores the core concepts of deep learning while covering the mathematical underpinnings, architecture, and training algorithms of neural networks.
Part two of the book delves into the topic of convolutional networks applied to computer vision. In-depth coverage of problems, including picture synthesis, object detection, instance segmentation, and classification, are covered.
In the third section, the central network architecture of big language models, the attention mechanism and transformers, are discussed. New kinds of complex tasks, like chatbots and text-to-image generation, are covered.
You will leave this book with a solid grasp of how deep neural networks function at their core. The capacity to create new models or tweak current ones to accomplish your goals will be at your fingertips. Plus, you’ll know enough to keep researching and learning about recent developments in the field.
What you will learn ?
- Dig into the theory behind deep neural networks.
- Get a handle on convolutional networks and how to use them for computer vision tasks.
- Master recurrent networks and natural language processing (NLP).
- Become familiar with the attention mechanism and transformers.
- Use large language models and transformers for computer vision and natural language processing.
- Create code snippets using Hugging Face Transformers, PyTorch, and Keras.
- Create and launch neural network models with the help of MLOps.
Who this book is for?
Deep learning enthusiasts, students, data scientists, data analysts, machine learning engineers, statisticians, and software developers/engineers will all find something useful in this book. It is required that you have prior knowledge of Python programming.
How Can You Get Your Free Copy?
You can get the Python Deep Learning ebook, which is in its third edition, for free from TradePub. It was originally $39.99, but for a limited time, it’s free.
- Get over to this exclusive giveaway page.
- Enter your email address and click the “Download” button.
- Do you already have an account with the TradePub? Kindly log in. Completely new to TradePub. Get a minor’s form filled out fast.
- For the download link, please look in your inbox for a message from TradePub.
- You can also locate the eBook in the TradePub library.
- This deal will expire on March 13, 2024.4, so don’t delay…⏰
Conclusion: Embrace the Future of AI
Python Deep Learning – Third Edition is your key to unlocking the promise of deep learning, whether you’re a data scientist, an aspiring AI developer, or just simply interested in this revolutionary technology.
Now is the moment to start your deep learning journey, so don’t miss out on this limited-time offer and get your free copy today!