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The 10 Best Tensorflow For Deep Learning Research Reviews

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1
Best Deep Learning (Adaptive Computation and Machine Learning series) Reviews
9.7
2
Best Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Reviews Aurélien Géron
9.6
3
Best Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition Review Sebastian Raschka
9.2
4
Best Data Science for Beginners: This Book Includes: Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Business Review Andrew Park
9.0
5
Best Grokking Deep Learning Review
8.5
6
Best Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition Review Maxim Lapan
8.4
7
Best Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition Review Antonio Gulli
8.1
8
Best Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning Review Delip Rao
7.8
9
Best Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects Review James Loy
7.6
10
Best Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras Review Benjamin Planche
7.2

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