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Applied Neural Networks with Tensorflow 2: API Oriented Deep Learning with Python
Paperback
Publisher Price: $54.99
ISBN13: 9781484265123
Publisher: Apress
Published: Nov 30 2020
Pages: 295
Weight: 0.98
Height: 0.66 Width: 6.14 Depth: 9.21
Language: English
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.
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
Data scientists and programmers new to the fields of deep learning and machine learning APIs.
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