Applied Neural Networks with TensorFlow 2

Name: Applied Neural Networks with TensorFlow 2
Brand: APress
SKU: 9781484265123
Price: 40.27 EUR
Availability: InStock

Автор: Orhan Gazi Yalçın

Език:

Корици: С меки корици

Издател: APress

Наличност: Външен склад

Изпращаме след 9-15 дни

40.27 € 78.77 лв

Implement deep learning applications using TensorFlow while learning the "why" through in-depth conc...

Информация за книгата

Автор

Orhan Gazi Yalçın

Език

Английски език

Корици

Книга - С меки корици

Издадена

2020

страници

316

EAN

9781484265123

ISBN

1484265122

Enbook ID

33196251

Издател

APress

Теглоt

482

Размери

155 x 235 x 18

Пълно описание

Implement deep learning applications using TensorFlow while learning the "why" through in-depth conceptual explanations. You'll start by learning what deep learning offers over other machine learning models. Then familiarize yourself with several technologies used to create deep learning models. While some of these technologies are complementary, such as Pandas, Scikit-Learn, and Numpy-others are competitors, such as PyTorch, Caffe, and Theano. This book clarifies the positions of deep learning and Tensorflow among their peers. You'll then work on supervised deep learning models to gain applied experience with the technology. A single-layer of multiple perceptrons will be used to build a shallow neural network before turning it into a deep neural network. After showing the structure of the ANNs, a real-life application will be created with Tensorflow 2.0 Keras API. Next, you'll work on data augmentation and batch normalization methods. Then, the Fashion MNIST dataset will be used to train a CNN. CIFAR10 and Imagenet pre-trained models will be loaded to create already advanced CNNs. Finally, move into theoretical applications and unsupervised learning with auto-encoders and reinforcement learning with tf-agent models. With this book, you'll delve into applied deep learning practical functions and build a wealth of knowledge about how to use TensorFlow effectively. What You'll Learn Compare competing technologies and see why TensorFlow is more popular Generate text, image, or sound with GANs Predict the rating or preference a user will give to an item Sequence data with recurrent neural networks Who This Book Is For Data scientists and programmers new to the fields of deep learning and machine learning APIs.

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също

Най-често търсени

Categories

Authors

Publishers

Продукти

Продукти

Най-често търсени

Categories

Authors

Publishers

Продукти

Продукти

Applied Neural Networks with TensorFlow 2

Информация за книгата

Пълно описание

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също