Deep Learning mit Python und Keras: Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek, MITP-Verlags GmbH & Co. Xception: Deep learning with depthwise separable convolutions, 1251-1258, 2017. You’ll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. Articles Cited by Public access Co-authors. You’ll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. Study with Quizlet and memorize flashcards containing terms like What three things do we need to do machine learning, Takes the predictions of the network and the true target (what you wanted the network to output), and computes a distance score, capturing how well the network has done on this specific example. This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. 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. 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.Image classification and image segmentation.In Deep Learning with Python, Second Edition you will learn: 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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