Getting Started with TensorFlow 2.0 for Deep Learning
Leverage the power of deep learning with TensorFlow 2.0
Created by Muhammad Hamza Javed
Explore how to build and deploy deep learning models using TensorFlow 2.0. You'll gain hands-on experience with the latest APIs and techniques to solve real-world machine learning problems. By the end, you'll be able to create smarter and more practical AI solutions.
Packt | Aug 2019 | 114 min
What You Will Learn
You'll learn by working directly with code, experimenting with different deep learning techniques in TensorFlow 2.0. Each concept is introduced with clear, step-by-step examples, making it easy to follow along and apply what you learn to your own projects.
Key Features
- Build and train deep learning models from scratch using TensorFlow 2.0
- Apply deep learning to real-world tasks like text and image classification
- Master advanced concepts like Keras functional API and recurrent neural networks
Target Audience
Ideal for developers with basic Python and machine learning knowledge who want to advance their skills in deep learning. If you're looking to build smarter, more complex AI systems using TensorFlow 2.0, you'll find practical guidance and hands-on experience here.
