Könyv Beginning Deep Learning with TensorFlow Xiangming Zeng

Beginning Deep Learning with TensorFlow

Work with Keras, MNIST Data Sets, and Advanced Neural Networks

Nyelv: Angol
Kötés: Puha kötésű
Kiadó: APress
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
19 136 Ft
Incorporate deep learning into your development projects through hands-on coding and the latest vers...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2022
oldal
713
EAN
9781484279144
ISBN
148427914X
Enbook ID
37301132
Kiadó
Súly
1110
Méretek
234 x 162 x 44

Teljes leírás

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners. You'll start with an introduction to AI, where you'll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you'll jump into simple classification programs for hand-writing analysis. Once you've tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you'll get into the heavy lifting of programming neural networks and working with a wide variety of neural network types such as GANs and RNNs. Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer! What You'll Learn Develop using deep learning algorithms Build deep learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications Who This Book Is For Students, programmers, and researchers with no experience in deep learning who want to build up their basic skillsets. Experienced machine learning programmers and engineers might also find value in updating their skills.

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