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深度学习

Natural Computation Methods for Machine Learning Note 08

ex) Tic-Tac-Toe Assign value to each board position (state): +1 if the state is a winning terminal state. 0 if the state is a losing terminal state +0.5 to all other states (terminal and non–terminal) play many games After each move, adjust the value of the pr…

2020年2月20日 0条评论 6915点热度 0人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 07

From today, we are going to introduce reinforcement learning(RL). Forget ANNs for a while - RL is a field in its own right, independent from ANNs. However, as we will see, ANNs are sometimes used in RL. Definition: Learning by interaction with an environment, …

2020年2月14日 0条评论 6369点热度 0人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 06

In this course, we learn more on extensions. and prior knowledge. We want to minimize the number of hidden nodes(=> less overfitting) The approaches: start with a large networks and prune. start with a small networks and grow. There are two example. Let eac…

2020年2月12日 0条评论 5913点热度 0人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 05

Let's continue talk about overtraining. The number of training set samples should be much larger than the number of weights roughly for ​ \(N^2\)(N = the number of weights). minimize the number of nodes and layers(weights) noise injection and noise to the…

2020年2月9日 0条评论 5401点热度 0人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 04

in order to decide by how much of the result blamed or credited to a particular weight. We need sigmoid function. Sigmoid function = any S-shape function. examples. logistical function \( y=f(s)=\frac{1}{1+e^{- \lambda s}} \), \(\lambda\) decides slope. When \…

2020年2月7日 0条评论 5854点热度 16人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 03

This course, I learnt basic pattern recognition , perceptron and an overview of how to train/adjust the perceptron. Here are some basic terms we should know. pattern recognition = feature extraction + classification Feature extraction = find "good" f…

2020年2月7日 0条评论 5296点热度 0人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 02

A question, what is AI? Artificial Intelligence: It is not the art of making computers behave as they do in the movies. It is motivated by the brain, but do not overdo it. We always regard it as a black box. After opening this box, we can see a network of simp…

2020年2月4日 0条评论 6443点热度 0人点赞 Dong Wang 阅读全文
深度学习

Natural Computation Methods for Machine Learning Note 01

I am going to record my course notes for a basic machine learning course, Natural Computation Methods for Machine Learning ( 1DL073 ). There are some course notes and personal understanding. I will not show full slides and provide the e-book of literature. How…

2020年2月4日 0条评论 7021点热度 0人点赞 Dong Wang 阅读全文
深度学习

GPU云主机配置keras2Python3.6Tensorflow环境记录[20190402可用]

python3.6 cudnn7.1.3 keras和tensorflow graphviz Opencv 阿里云 弗吉尼亚地区 ecs.gn5-c4g1.xlarge型号 OS:ubuntu 16.04 CPU: 4 vCPU GPU: Nvidia P100 (12 GiB 显存) sudo apt-get install -y software-properties-common sudo add-apt-repository ppa:deadsnakes/ppa sudo apt-get update su…

2018年5月17日 0条评论 12528点热度 30人点赞 Dong Wang 阅读全文
深度学习

pycharm加持remote VPS实现远程TensorFlow环境

准备前提: 1.一台远程主机,工作站/VPS/服务器/阿里云ECS 2.一台安装了Pycharm professional的笔记本/超极本/surface 3. Putty和puttygen(强烈建议从官网直接下载,不要使用第三方下载工具,为了你的安全) 步骤: 1.获取你的VPS的IP,你可以从你的IDC获取,或者向你的实验室老师/老板/IT索取: 2.使用putty登陆 3.登陆成功 4.使用puttygen生成…

2017年5月11日 3条评论 15450点热度 32人点赞 Dong Wang 阅读全文
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Dong Wang

I am a PhD student of TU Graz in Austria. My research interests include Embedded/Edge AI, efficient machine learning, model sparsity, deep learning, computer vision, and IoT. I would like to understand the foundational problems in deep learning.

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