This repository contains code materials & exercises for Deep Learning Fundamentals course by Sebastian Raschka and Lightning AI. Link to the course website: https://lightning.ai/pages/courses/deep-learning-fundamentals/ Link to the discussion forum: https://github.com/Lightning-AI/dl-fundamentals/di...
Fundamentals of Deep Learning This repository is the code companion to Fundamentals of Deep Learning by Nikhil Buduma and Nicholas Locascio. Contributions to the text and code have also been made by Mostafa Samir, Surya Bhupatiraju, and Anish Athalye. All algorithms are implemented in Tensorflow, ...
4.2.1.fundamentals of deep learning 4.2.2.neural networks(NN) 4.3.6.other algorithms 4.3.7.deep Q network::DQN 4.3.8.Policy Gradient 4.3.9.Actor Critic 4.4.supervised and unsupervised learning 4.0.machine learning&deep learning&reinforced learning)machine learning deep learning reinforced learning ...
Deep Reinforcement Learning in Unity provides a walk-through of the core fundamentals of deep reinforcement learning algorithms, especially variants of the value estimation, advantage, and policy gradient algorithms (including the differences between on and off policy algorithms in reinforcement learning)....
There is always so much new to learn in machine learning, and keeping well grounded in the fundamentals will help you stay up-to-date with the latest advancements while acing your career in Data Science. Deep Learning, Free ebook, Machine Learning...
最后一定得推荐这个Github: 机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)(篇目一是机器学习的资料汇总,篇目二是深度学习的汇总,并且在不断更新中) 《Image Scaling using Deep Convolutional Neural Networks》 介绍:使用卷积神经网络的图像缩放. 《Proceedings of The 32nd International Conferenc...
即使最终的模型不具有泛化性,优化仍然是经验上的容易的。这表明优化在经验上容易的原因肯定与真正的泛化原因不同。 来源 Zhang C, Bengio S, Hardt M, et al. Understanding deep learning requires rethinking generalization[J]. 2016.
This paper aims to explore the application of deep learning in smart contract vulnerabilities detection. Smart contracts are an essential part of blockchain technology and are crucial for developing decentralized applications. However, smart contract vul
Deep learning model configuration This part aims to explore the detailed process of setting up the DL model for our logo detection framework. This involves making modifications and adding extra layers to customize the model according to our unique requirements. Following the fundamentals outlined in “...
and applying them in the simple, easy-to-understand context of the MNIST problem. Put another way: the chapter is not going to bring you right up to the frontier. Rather, the intent of this and earlier chapters is to focus on fundamentals, and so to prepare you to understand a wide ra...