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, and Google Colab, before moving on to solve regression and classification problems with sequential models.

Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing.

By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow.

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Spis treści

The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets eBook -- spis treści

• 1. Introduction to Machine Learning with TensorFlow
• 2. Loading and Processing Data
• 3. TensorFlow Development
• 4. Regression and Classification Models
• 5. Classification Models
• 6. Regularization and Hyperparameter Tuning
• 7. Convolutional Neural Networks
• 8. Pre-Trained Networks
• 9. Recurrent Neural Networks
• 10. Custom TensorFlow Components
• 11. Generative Models