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Deep learning with TensorFlow 2 and keras : regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, second edition [E-Book] /
Subject (ZB): “...Python (programming language)...”

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Deep learning with PyTorch 1.x : implement deep learning techniques and neural network architecture variants using Python /
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Hands-on computer vision with tensorflow 2 : leverage deep learning to create powerful image processing apps with tensorflow 2.0 and Keras [E-Book] /
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Hands-on deep learning algorithms with Python : master deep learning algorithms with extensive math by implementing them using TensorFlow [E-Book] /
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What's new in TensorFlow 2.0 : Use the new and improved features of TensorFlow to enhance machine learning and deep learning [E-Book] /
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Hands-On machine learning with TensorFlow. js : a guide to building ML applications integrated with web technology using the TensorFlow. js library [E-Book] /
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Deep learning with PyTorch 1.x : implement deep learning techniques and neural network architecture variants using Python, second edition [E-Book] /
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Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow [E-Book] /
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Python deep learning projects : 9 projects demystifying neural network and deep learning models for building intelligent systems /
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Machine learning with Python cookbook : practical solutions from preprocessing to deep learning /
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Deep learning with Python /
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Deep learning with PyTorch : a practical approach to building neural network models using PyTorch [E-Book] /
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Deep learning with TensorFlow : explore neural networks and build intelligent systems with Python [E-Book] /
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Python reinforcement learning projects : eight hands-on projects exploring reinforcement learning algorithms using TensorFlow [E-Book] /
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Einführung in Machine Learning mit Python : Praxiswissen Data Science /
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Machine Learning mit Python : das Praxishandbuch für Data Science, Predictive Analysis und Deep Learning /
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