1 The Modern Mathematics of Deep LearningJulius Berner, Philipp Grohs, Gitta Kutyniok and Philipp Petersen1 1.1 Introduction 1 1.1.1 Notation 4 1.1.2 Foundations of Learning Theory 5 1.1.3 Do We Need a New Theory? 23 1.2 Generalization of Large Neural Networks 31 1.2.1 Kernel Regime 31 1...
将其与策略迭代结合,寻找最优策略 3、Q-learning结合函数近似 此处给出 on-policy 算法 4、Deep Q-learning 上述Q-learning 结合函数近似的算法需要对神经网络的梯度下降过程进行干预,因为它直接对参数w进行了修改。现在需要一个更粗粒度的方法,将神经网络与 Q-learning 的耦合度降低 DQN 的目标函数如下: 此时,将...
The need for speed motivated traditional 3-layer neural networks. At present, computer speed is rarely a problem, but accuracy is—this motivated deep learning. In this paper, we concentrate on the need to provide mathematical foundations for the empirical success of deep learning....
Mathematical Foundations of Deep Leanring MathDL Follow This repository supports the book titled "Mathematical Foundations of Deep Learning" by Konstantinos Spiliopoulos, Richard Sowers and Justin Sirignano. http://math.bu.edu/people/kspiliop/ http://publish.illinois.edu/r-sowers/ https://www...
This book show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Foundations of Machine Learning (Mehryar Mohri, et al) This bo...
Mathematical Foundations Santanu Pattanayak Pages 1-87 Introduction to Deep-Learning Concepts and TensorFlow Santanu Pattanayak Pages 89-152 Convolutional Neural Networks Santanu Pattanayak Pages 153-221 Natural Language Processing Using Recurrent Neural Networks Santanu Pattanayak Pages 223-278...
Springer Series in the Data Sciences(共11册),这套丛书还有 《Data Science for Public Policy》《Deep Learning Architectures》《A Parametric Approach to Nonparametric Statistics》《Statistics in the Public Interest》《Multivariate Data Analysis on Matrix Manifolds: (with Manopt)》等。 我来说两句 短评 ...
Mathematical Foundations of Quantum Field and Perturbative String Theory 热度: Mathematical Foundations of Elliptic Curve Cryptography 热度: q 0 q 1 q 3 q 1 q 2 q 1 q 4 s t a r t 0 1 0 1 0,1 ℒ(M)=((0|1)ℒ * (00|11)) ...
这篇文章主要是Book-Mathematical-Foundation-of-Reinforcement-Learning这本书的阅读笔记,简单总结一下重点和学到的东西。 基础概念 Agent:受控的对象。 State:描述Agent的状态集合,比如位置、速度、方向等信息,使用S={s1,…,sn}表示。 Action:描述Agent拥有的动作集合,比如前进、后退、攻击等动作,使用A={a1,…,an...
Although this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations “beyond” the sole computing experience. ...