Machine Learning Projects with TensorFlow 2.0
Supercharge your Machine Learning skills with Tensorflow 2
Created by Dr. Vlad Sebastian Ionescu
Explore the power of TensorFlow 2.0 by building real-world machine learning projects. Get hands-on experience with new features like Eager Execution and learn to apply advanced techniques in practical scenarios. Strengthen your skills and gain confidence to create your own ML systems.
Packt | Apr 2020 | 260 min
What You Will Learn
You will work through a series of practical projects that guide you step by step from setup to deployment. Each project focuses on a different machine learning task, helping you apply concepts and techniques in a real context. Along the way, you'll use tools like TensorBoard and explore advanced topics such as reinforcement and transfer learning.
Key Features
- Build and deploy machine learning models using TensorFlow 2.0's latest features
- Apply reinforcement learning and transfer learning to real-world problems
- Monitor and improve project performance with TensorBoard and professional workflows
Target Audience
Designed for developers, data scientists, and ML engineers with a basic understanding of Python and machine learning concepts. If you're looking to deepen your TensorFlow skills by working on practical projects and want to confidently build and deploy your own ML solutions, this is for you.
