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Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using Tensorflow
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ISBN13: 9780137470358
Publisher: Addison-Wesley Professional
Published: Aug 17 2021
Pages: 752
Weight: 2.24
Height: 0.94 Width: 7.45 Depth: 9.10
Language: English
NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results
To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals.-- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute
Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.
- Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation
- See how DL frameworks make it easier to develop more complicated and useful neural networks
- Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis
- Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences
- Master NLP with sequence-to-sequence networks and the Transformer architecture
- Build applications for natural language translation and image captioning
NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others.
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