Tag: Neural Networks

Automated Machine Learning in Action Front Cover

Automated Machine Learning in Action

  • Length: 315 pages
  • Publication Date: 2022-05-03
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Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition Front Cover

Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition

  • Length: 564 pages
  • Publication Date: 2022-03-25
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Machine Learning Engineering in Action Front Cover

Machine Learning Engineering in Action

  • Length: 576 pages
  • Publication Date: 2022-05-03
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AI by Design: A Plan for Living with Artificial Intelligence Front Cover

AI by Design: A Plan for Living with Artificial Intelligence

  • Length: 144 pages
  • Publication Date: 2022-03-14
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Front Cover

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

  • Length: 770 pages
  • Publication Date: 2022-02-25
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Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j Front Cover

Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j

  • Length: 144 pages
  • Publication Date: 2018-08-31
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Designing Autonomous AI: A Guide for Machine Teaching Front Cover

Designing Autonomous AI: A Guide for Machine Teaching

  • Length: 250 pages
  • Publication Date: 2022-07-19
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Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using Python’s NumPy, and Matplotlib Front Cover

Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals using Python’s NumPy, and Matplotlib

  • Length: 256 pages
  • Publication Date: 2021-08-23
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Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition Front Cover

Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition

  • Length: 382 pages
  • Publication Date: 2019-02-28
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1 ratings
Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions Front Cover

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions

  • Length: 314 pages
  • Publication Date: 2021-10-15
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Natural Computing with Python: Learn to implement genetic and evolutionary algorithms to solve problems in a pythonic way Front Cover

Natural Computing with Python: Learn to implement genetic and evolutionary algorithms to solve problems in a pythonic way

  • Length: 278 pages
  • Publication Date: 2019-06-21
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AI for Learning Front Cover

AI for Learning

  • Length: 136 pages
  • Publication Date: 2022-01-28
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