TensorFlow 2.0 for Beginners: Build Real-World Deep Learning Models with Python and Keras

By Phillip L. Lahr

Master the power of AI no PhD required. With TensorFlow 2.0 and Keras, building intelligent models is now within every developer's reach.

TensorFlow 2.0 for Beginners is your ultimate guide to understanding and applying deep learning techniques using Python and Keras. Whether you're new to machine learning or transitioning from traditional software development, this hands-on book will take you from theory to real-world applications, one intuitive step at a time.

Through concise explanations and fully functional code examples, you'll learn how to build models for image recognition, natural language processing, time series forecasting, and more. You'll also gain practical experience in model training, evaluation, and deployment skills essential for real-world AI development in today's tech-driven industries.

What's Inside:

Step-by-step tutorials for building deep learning models from scratch

Real-world projects including image classification, sentiment analysis, and stock prediction

Practical coverage of TensorFlow 2.x, Keras API, and data preprocessing

Model saving, exporting, and deployment for web, mobile, and production use

Tips, tricks, and common pitfalls explained in plain language

Ready to build your first deep learning model? Grab your copy of TensorFlow 2.0 for Beginners and start turning your data into powerful AI solutions today.

• Format: Paperback
• Language: English
• ISBN: B0FJ676SWP
• ISBN13: 9798293097517
• Release Date: July 2025
• Publisher: Independently Published
• Length: 256 Pages
• Weight: 0.99 lbs.
• Dimensions: 0.5" x 7.0" x 10.0"