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Applied deep learning with TensorFlo...
~
Michelucci, Umberto.
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Applied deep learning with TensorFlow 2 = learn to implement advanced deep learning techniques with Python /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Applied deep learning with TensorFlow 2/ by Umberto Michelucci.
其他題名:
learn to implement advanced deep learning techniques with Python /
作者:
Michelucci, Umberto.
出版者:
Berkeley, CA :Apress : : 2022.,
面頁冊數:
xxviii, 380 p. :ill., digital ;24 cm.
內容註:
Chapter 1 : Optimization and Neural Networks -- Chapter 2: Hands-on with One Single Neuron -- Chapter 3: Feed Forward Neural Networks -- Chapter 4: Regularization -- Chapter 5: Advanced Optimizers -- Chapter 6: Hyperparameter Tuning -- Chapter 7: Convolutional Neural Networks -- Chapter 8: Brief Introduction to Recurrent Neural Networks -- Chapter 9: Autoencoders -- Chapter 10: Metric Analysis -- Chapter 11: General Adversarial Networks (GANs) -- Appendix A: Introduction to Keras -- Appendix B: Customizing Keras.
Contained By:
Springer Nature eBook
標題:
Python (Computer program language) -
電子資源:
https://doi.org/10.1007/978-1-4842-8020-1
ISBN:
9781484280201
Applied deep learning with TensorFlow 2 = learn to implement advanced deep learning techniques with Python /
Michelucci, Umberto.
Applied deep learning with TensorFlow 2
learn to implement advanced deep learning techniques with Python /[electronic resource] :by Umberto Michelucci. - Second edition. - Berkeley, CA :Apress :2022. - xxviii, 380 p. :ill., digital ;24 cm.
Chapter 1 : Optimization and Neural Networks -- Chapter 2: Hands-on with One Single Neuron -- Chapter 3: Feed Forward Neural Networks -- Chapter 4: Regularization -- Chapter 5: Advanced Optimizers -- Chapter 6: Hyperparameter Tuning -- Chapter 7: Convolutional Neural Networks -- Chapter 8: Brief Introduction to Recurrent Neural Networks -- Chapter 9: Autoencoders -- Chapter 10: Metric Analysis -- Chapter 11: General Adversarial Networks (GANs) -- Appendix A: Introduction to Keras -- Appendix B: Customizing Keras.
ISBN: 9781484280201
Standard No.: 10.1007/978-1-4842-8020-1doiSubjects--Topical Terms:
729789
Python (Computer program language)
LC Class. No.: QA76.73.P98 / M53 2022
Dewey Class. No.: 006.31
Applied deep learning with TensorFlow 2 = learn to implement advanced deep learning techniques with Python /
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Chapter 1 : Optimization and Neural Networks -- Chapter 2: Hands-on with One Single Neuron -- Chapter 3: Feed Forward Neural Networks -- Chapter 4: Regularization -- Chapter 5: Advanced Optimizers -- Chapter 6: Hyperparameter Tuning -- Chapter 7: Convolutional Neural Networks -- Chapter 8: Brief Introduction to Recurrent Neural Networks -- Chapter 9: Autoencoders -- Chapter 10: Metric Analysis -- Chapter 11: General Adversarial Networks (GANs) -- Appendix A: Introduction to Keras -- Appendix B: Customizing Keras.
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