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, ...
one is that the logit function has the nice connection to odds. a second is that the gradients of the logit and sigmoid are simple to calculate. The reason why this is important is that many optimization and machine learning techniques make use of gradients, for example when estimating paramet...
This course is for motivated students with some understanding of classical machine learning and for early-career software engineers or technical professionals looking to master the fundamentals and gain practical machine learning and deep learning skills. Neural Networks and Deep Learning is the first cou...
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)....
https://mlnotebook.github.io/post/CNN1/ http://bamos.github.io/2016/08/09/deep-completion/ https://www.analyticsvidhya.com/blog/2016/04/deep-learning-computer-vision-introduction-convolution-neural-networks/ https://www.analyticsvidhya.com/blog/2016/03/introduction-deep-learning-fundamentals-neur...
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 “...
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...
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
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...