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Relevant bibliographies by topics / Tensorflow/Keras

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Academic literature on the topic 'Tensorflow/Keras'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Books on the topic "Tensorflow/Keras"

1

Anshik. AI for Healthcare with Keras and Tensorflow 2.0. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7086-8.

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2

Deep learning with keras: Implement neural networks with Keras on Theano and Tensorflow. Packt, 2017.

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3

Duerr, Oliver, Beate Sick, and Elvis Murina. Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability. Manning Publications, 2020.

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4

Capelo, Luis. Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications. Packt Publishing, 2018.

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5

Nandy. Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python. Apress, 2019.

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6

Nandy, Abhishek, and Manisha Biswas. Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python. Apress, 2017.

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7

II, Taweh Beysolow. Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras. Apress, 2019.

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8

Ballard, Will. Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras. Packt Publishing, 2018.

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9

Fandango, Armando. Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras. Packt Publishing - ebooks Account, 2018.

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10

Paul, Debjyoti, and Charan Puvvala. Video Analytics Using Deep Learning: Building Applications with TensorFlow, Keras, and YOLO. Apress, 2020.

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