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Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries Key Features Implement Q-learning;
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Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important;
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A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the;
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Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key Features Your entry;
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looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book;
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Beginning-Intermediate;...
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reinforcement learning Who this book is forBuilding Machine Learning Systems with Python is for data scientists, machine learning developers, and;
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Is ForData Scientists, Machine Learning engineers and Python programmers who want to apply reinforcement learning to solve problems.;
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Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine;
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reinforcement learning in Python, scikit-learn, Keras, and TensorFlow Dig deep into neural networks, examine uses of GANs and reinforcement learning;
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Python Get well-versed with different types of neural networks and popular deep learning algorithms Leverage popular Python deep learning;
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