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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks: Roberts, Daniel A., Yaida, Sho, Hanin, Boris: 9781316519332: Amazon.com: Books

The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks: Amazon.co.uk: Roberts, Daniel A., Yaida, Sho, Hanin, Boris: 9781316519332: Books

Quantum compiling by deep reinforcement learning | Communications Physics

Four Deep Learning Papers to Read in April 2021 | by Robert Lange | Towards Data Science | Medium

Quantum Computing and Artificial Intelligence: Training Machine and Deep Learning Algorithms on Quantum Computers

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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks: Roberts, Daniel A., Yaida, Sho, Hanin, Boris: 9781316519332: Amazon.com: Books,The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks: Amazon.co.uk: Roberts, Daniel A., Yaida, Sho, Hanin, Boris: 9781316519332: Books,Quantum compiling by deep reinforcement learning | Communications Physics,Four Deep Learning Papers to Read in April 2021 | by Robert Lange | Towards Data Science | Medium,Quantum Computing and Artificial Intelligence: Training Machine and Deep Learning Algorithms on Quantum Computers,

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