The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist ni
A Little Book of Python for Multivariate Analysis.epub Algorithmic Information Theory - Review For Physicists And Natural Scientists.pdf Artificial Inteligence - Leonardo Araujo dos Santos.epub Assembly Language for Beginners.pdf Bayesian Networks &
TensorFlow.js, Google 提供的基于TensorFlow的Javascr ipt库。方便使用JS的开发者使用，并且可以为未来的边缘计算提供支持。TensorFlow. js: Machine Learning for the Web and beyond
acceleration, notably TensorFire(Kwok et al., 2017), Propel Layers APl, which provides higher-level model buildin
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关于Noisy Networks for Exploration dqn的原始论文，适合初学者对深度强化学习Noisy Networks for Exploration dqn的认识和了解Published as a conference paper at ICLR 2018
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