Machine Learning Using TensorFlow Cookbook
Create powerful machine learning algorithms with TensorFlow
KBCreated by Alexia Audevart, Luca Massaron, Konrad Banachewicz
Explore practical machine learning techniques using TensorFlow and learn how to build, train, and evaluate models for real-world data challenges. Gain hands-on experience with deep learning, neural networks, and advanced algorithms to solve complex problems.
Packt | Feb 2021 | 416 min
What You Will Learn
You will work through focused sections that break down each concept with clear explanations and real-world examples. Step-by-step guidance helps you apply TensorFlow to a variety of machine learning problems, from basic data processing to advanced deep learning models. Each section is designed to help you build practical skills you can use immediately.
Key Features
- Build and train neural networks for computer vision and NLP tasks using TensorFlow
- Apply advanced model evaluation and fine-tuning techniques for better results
- Understand and implement deep learning architectures like CNNs, RNNs, and Transformers
Target Audience
Ideal for data scientists and machine learning engineers who already know Python and basic machine learning concepts. If you want to move quickly from theory to building production-ready models with TensorFlow, you will find this course especially useful. A background in linear algebra and statistics will help you get the most out of the material.
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