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Can I read The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets on EtoBox?
The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets by Anthony Maddalone, Matthew Moocarme, Anthony So is a science book available to read on EtoBox.
What is The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets about?
Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key Features Understand the fundamentals of tensors, neural networks, and deep learning Discover how to implement and fine-tune deep learning models for real-world datasets Build your experience and confidence with hands-on exercises and activities Book Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging. If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it’ll quickly get you up and running. You’ll start off with the basics – learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you’ll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub
Who reads The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Anthony Maddalone, Matthew Moocarme, Anthony So
- Publisher
- Packt Publishing - ebooks Account
- Published
- 2021
- Language
- EN
- ISBN
- 9781800205253
- Category
- science
- Subjects
- Science, Computer Science, Artificial Intelligence (Ai)
- Rating
- 4.2 / 5 (26 ratings)
- Updated
- 2026-03-14
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