This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow.
Pre-process a wide variety of tabular, sequential, and image data.Get to grips with TensorFlow’s mathematical operations.
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.īuilding 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.īy 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.What you will learn You’ll start off with the basics – learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. Combining clear explanations, realistic examples, and plenty of hands-on practice, it’ll quickly get you up and running. If this sounds familiar to you, The TensorFlow Workshop is here to help. 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. Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. Build your experience and confidence with hands-on exercises and activities.
Discover how to implement and fine-tune deep learning models for real-world datasets.