To view the project as an HTML file, visit -https://spandan-madan.github.io/DeepLearningProject/ The Code If you would like to access to Code, please go through the ipython notebook 'Deep_Learning_Project.ipynb' SETUP Python We will be using Python 2.7. Primary reason is that Tensorflow...
Dr. Jianfeng Gao is a veteran computer scientist, an IEEE Fellow and the current head of the Deep Learning Group at Microsoft Research. He and his team are exploring novel approaches to advancing the state-of-the-art on deep learning in areas like NLP, computer vision, multi-modal ...
In ArcGIS Enterprise 11.1, Deep Learning Studio introduced a new portal item type called a Deep Learning Studio project. A Deep Learning Studio project organizes the reference resources that are required to complete a deep learning process in a single location in an organization. The way in which...
Related paths/tracks:Deep Learning Fundamentals with Keras,Deep Learning with Python and PyTorch,Deep Learning with Tensorflow,Using GPUs to Scale and Speed-up Deep Learning,Deep Learning and Neural Networks for Financial Engineering,Machine Learning with Python: from Linear Models to Deep Learning Go...
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models 重要的网站Heatmapping 这是一个专门整理Explainable AI的相关想法,尤其是去解释那些State of the art模型,我先展示一个可视化的Demo:LRP Demos链接 数字辨识及重要的像素热力图显示 ...
*《Deep Learning for Natural Language Processing and Related Applications》 介绍:这份文档来自微软研究院,精髓很多。如果需要完全理解,需要一定的机器学习基础。不过有些地方会让人眼前一亮,毛塞顿开。 Understanding Convolutions 介绍:这是一篇介绍图像卷积运算的文章,讲的已经算比较详细的了 《Machine Learning Summ...
to the right (I push just one element in each step). Whenever there are coincident, I multiply two related elements and in the case of more than one matching elements, I sum them up together. As a notice red matrix was [2 -1 1] and after flipping it (kernel) becomes [1 -1 2]...
Loss during NoGAN learning is two parts: One is a basic Perceptual Loss (or Feature Loss) based on VGG16 – this just biases the generator model to replicate the input image. The second is the loss score from the critic. For the curious – Perceptual Loss isn't sufficient by itself to...
It's clear there is spatial structure here beyond what we'd expect at random: many of the features have clear sub-regions of light and dark. That shows our network really is learning things related to the spatial structure. However, beyond that, it's difficult to see what these feature ...
Deep Learning in Neural Networks- This technical report provides an overview of deep learning and related techniques with a special focus on developments in recent years. 主要看点是深度学习近两年(2012-2014)的进展情况。 Tutorials UFLDL Tutorial 120 ...