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References
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2 - Basic Concepts
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Preface
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7 - The Local Learning Principle
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12 - Applications in Chemistry
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Frontmatter
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Dedication
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5 - Autoencoders
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14 - Conclusion
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13 - Applications in Biology and Medicine
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9 - Recurrent Networks
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3 - Shallow Networks and Shallow Learning
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6 - Deep Networks and Backpropagation
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Index
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10 - Recursive Networks
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Appendix B - Hints and Remarks for Selected Exercises
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Appendix A - Reinforcement Learning and Deep Reinforcement Learning
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11 - Applications in Physics
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Contents
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1 - Introduction
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