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  1. 1
    Deep learning projects with PyTorch

    Deep learning projects with PyTorch

    Published 2018
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  2. 2
    Troubleshooting Python deep learning

    Troubleshooting Python deep learning

    Published 2019
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  3. 3
    Springer Nature computing video. Install Tensorflow-GPU on Windows 10

    Springer Nature computing video. Install Tensorflow-GPU on Windows 10

    Published 2020
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  4. 4
    ChatGPT for web design : create amazing websites.

    ChatGPT for web design : create amazing websites.

    [First edition].
    Published 2023
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  5. 5
    Deep learning. Convolutional neural networks with TensorFlow 2

    Deep learning. Convolutional neural networks with TensorFlow 2 by Lazy Programmer

    Published 2023
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  6. 6
    Deep learning and neural networks in PyTorch for beginners

    Deep learning and neural networks in PyTorch for beginners

    Published 2018
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  7. 7
    Hands-on deep learning with TensorFlow

    Hands-on deep learning with TensorFlow

    Published 2018
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  8. 8
    Deep learning and neural networks using Python - Keras : the complete beginners guide

    Deep learning and neural networks using Python - Keras : the complete beginners guide by Nelson, Abhilash

    Published 2019
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  9. 9
    Deep learning. Recurrent neural networks with TensorFlow.

    Deep learning. Recurrent neural networks with TensorFlow.

    Published 2023
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  10. 10
    Getting started with neural nets in R

    Getting started with neural nets in R

    Published 2018
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  11. 11
    Developing an image classifier using TensorFlow : convolutional neural network tutorial

    Developing an image classifier using TensorFlow : convolutional neural network tutorial

    Published 2019
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  12. 12
    3D neural network visualization with TensorSpace

    3D neural network visualization with TensorSpace

    Published 2019
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  13. 13
    Building Recommender systems with machine learning and AI

    Building Recommender systems with machine learning and AI

    Published 2018
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  14. 14
    Building a chatGPT AI with JavaScript : an openAI code-along guide.

    Building a chatGPT AI with JavaScript : an openAI code-along guide.

    [First edition].
    Published 2023
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  15. 15
    Introduction to ChatGPT and OpenAI.

    Introduction to ChatGPT and OpenAI.

    [First edition].
    Published 2023
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  16. 16
    ChatGPT and DALL-E : sell your creative thinking with AI.

    ChatGPT and DALL-E : sell your creative thinking with AI.

    [First edition].
    Published 2023
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  17. 17
    Crash course statistics. Neural networks.

    Crash course statistics. Neural networks.

    Published 2018
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  18. 18
    SN Video coding and web development. Introduction to convolutional neural networks

    SN Video coding and web development. Introduction to convolutional neural networks

    Published 2020
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  19. 19
    Deep learning. Artificial neural networks with Tensorflow.

    Deep learning. Artificial neural networks with Tensorflow.

    [First edition].
    Published 2023
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  20. 20
    ChatGPT voice-powered chatbot build with React and FastAPI.

    ChatGPT voice-powered chatbot build with React and FastAPI.

    [First edition].
    Published 2023
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  21. 21
    ChatGPT 101 : supercharge your work and life with ChatGPT.

    ChatGPT 101 : supercharge your work and life with ChatGPT.

    [First edition].
    Published 2023
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  22. 22
    TensorFlow 1.x deep learning recipes for artificial intelligence applications

    TensorFlow 1.x deep learning recipes for artificial intelligence applications

    Published 2018
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  23. 23
    Practical convolutional neural networks

    Practical convolutional neural networks by Sewak, Mohit, Karim, Rezaul, Pujari, Pradeep

    Published 2018
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  24. 24
    Autonomous cars : deep learning and computer vision in Python

    Autonomous cars : deep learning and computer vision in Python by Ahmed, Ryan, Kane, Frank (Programmer), Bouchard, Mitchell

    Published 2019
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  25. 25
    Complex valued nonlinear adaptive filters : noncircularity, widely linear and neural models

    Complex valued nonlinear adaptive filters : noncircularity, widely linear and neural models by Mandic, Danilo P.

    Published 2009
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  26. 26
    Information Processing by Biochemical Systems : Neural Network-Type Configurations

    Information Processing by Biochemical Systems : Neural Network-Type Configurations by Filo, Orna

    Published 2010
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  27. 27
    Brain computation as hierarchical abstraction

    Brain computation as hierarchical abstraction by Ballard, Dana H. (Dana Harry), 1946-

    Published 2015
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  28. 28
    Neural Network Programming with TensorFlow.

    Neural Network Programming with TensorFlow. by Ghotra, Manpreet Singh

    Published 2017
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  29. 29
    Wavelet neural networks : with applications in financial engineering, chaos, and classification

    Wavelet neural networks : with applications in financial engineering, chaos, and classification by Alexandridis, Antonis K.

    Published 2014
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  30. 30
    Recurrent Neural Networks with Python Quick Start Guide : Sequential Learning and Language Modeling with TensorFlow.

    Recurrent Neural Networks with Python Quick Start Guide : Sequential Learning and Language Modeling with TensorFlow. by Kostadinov, Simeon

    Published 2018
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  31. 31
    Approximation Methods for Efficient Learning of Bayesian Networks.

    Approximation Methods for Efficient Learning of Bayesian Networks. by Riggelsen, C.

    Published 2008
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  32. 32
    Advanced deep learning with Python.

    Advanced deep learning with Python. by Vasilev, Ivan

    Published 2019
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  33. 33
    Flexible neuro-fuzzy systems : structures, learning, and performance evaluation

    Flexible neuro-fuzzy systems : structures, learning, and performance evaluation by Rutkowski, Leszek

    Published 2004
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  34. 34
    Computational Web intelligence : intelligent technology for Web applications

    Computational Web intelligence : intelligent technology for Web applications

    Published 2004
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  35. 35
    What should be computed to understand and model brain function? : from robotics, soft computing, biology and neuroscience to cognitive philosophy

    What should be computed to understand and model brain function? : from robotics, soft computing, biology and neuroscience to cognitive philosophy

    Published 2001
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  36. 36
    Strategy for an Army center for network science, technology, and experimentation

    Strategy for an Army center for network science, technology, and experimentation

    Published 2007
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  37. 37
    Introduction to computational neurobiology and clustering

    Introduction to computational neurobiology and clustering by Tirozzi, Brunello

    Published 2007
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  38. 38
    Principles of artificial neural networks

    Principles of artificial neural networks by Graupe, Daniel

    3rd edition.
    Published 2013
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  39. 39
    R deep learning essentials : a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet

    R deep learning essentials : a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet by Hodnett, Mark, Wiley, Joshua F.

    Second edition.
    Published 2018
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  40. 40
    Deep Learning Essentials : Your hands-on guide to the fundamentals of deep learning and neural network modeling.

    Deep Learning Essentials : Your hands-on guide to the fundamentals of deep learning and neural network modeling. by Di, Wei

    Published 2018
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