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Deep Learning with TensorFlow and Keras - 3rd edition. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition Dr. Amita Kapoor, Antonio Gulli, Sujit Pal

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Deep Learning with TensorFlow and Keras - 3rd edition. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition Dr. Amita Kapoor, Antonio  Gulli, Sujit Pal - okladka książki

Deep Learning with TensorFlow and Keras - 3rd edition. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition Dr. Amita Kapoor, Antonio  Gulli, Sujit Pal - okladka książki

Deep Learning with TensorFlow and Keras - 3rd edition. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition Dr. Amita Kapoor, Antonio  Gulli, Sujit Pal - audiobook MP3

Deep Learning with TensorFlow and Keras - 3rd edition. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition Dr. Amita Kapoor, Antonio  Gulli, Sujit Pal - audiobook CD

Autorzy:
Dr. Amita Kapoor, Antonio Gulli, Sujit Pal
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Bądź pierwszym, który oceni tę książkę
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698
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Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.

TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments.

This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.

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O autorach książki

​Amita Kapoor, a seasoned expert in Artificial Intelligence, serves as the Chief Artificial Intelligence Officer at TIPZ AI, bringing over 25 years of experience in AI, data science, and neuroscience. Her consultancy, NePeur, stands testament to her leadership in applying AI across diverse industries, enhancing operational efficiency and business intelligence. Amita is also a devoted board member of Neuromatch Academy, where she plays a crucial role in making neuroscience and deep learning education accessible to all. Holding a PhD from the University of Delhi, she has dedicated her career to education, authoring numerous articles and papers, and creating impactful online classes. Her significant contributions extend to pioneering projects in intelligent vehicle fleet management, home surveillance through AI-powered face detection, and robust data anonymization solutions. Connect with Amita on LinkedIn.
Sujit Pal is a Technology Research Director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His interests include semantic search, natural language processing, machine learning, and deep learning. At Elsevier, he has worked on several initiatives involving search quality measurement and improvement, image classification and duplicate detection, and annotation and ontology development for medical and scientific corpora.

Dr. Amita Kapoor, Antonio Gulli, Sujit Pal - pozostałe książki

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