He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning. You’ll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. François Chollet works on deep learning at Google in Mountain View, CA. Xception: Deep Learning With Depthwise Separable Convolutions Francois Chollet Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. It’s based on the revised new edition of François Chollet’s bestselling Deep Learning with Python. This extensively revised full color second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. Deep Learning with R, Second Edition shows you how to put deep learning into action. Text generation, neural style transfer, and image generationĭeep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action.Text classification and machine translation.A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown. Beyond the imitation game: Quantifying and extrapolating the capabilities of language models. Image classification and image segmentation Building powerful image classification models using very little data. Deep learning can be used to optimize fish farming in Norway or automate monitoring the Amazon rainforest for illegal logging, but the tech industry may lack the scope and proximity to understand.Allaire, this book builds your understanding of deep learning through intuitive explanations and practical examples. In Deep Learning with Python, Second Edition you will learn: Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher Franois Chollet and adapted for R by RStudio founder J. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world.

Printed in full color! Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original.

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