deep learning tutorial python

Deep learning has been fire for a long time, some people have been here for many years, and some people have just begun, such as myself. How to get into this field quickly in a short period of time to master deep learning the latest technology is a question worth thinking about. In the present situation, it is the best

similar to the dimensionality reduction) method. Maximum pooling divides the input image into overlapping image matrix blocks, and each sub-region outputs its maximum value. The two reasons why the maximum pooling method is very effective in the visual processing problem are:(1) Reduce the computational complexity of the upper level by reducing the non-maximum value.(2) The result of pooling supports translation invariance. In the convolution layer, each pixel point has 8 orientations that can

Cold Yang small dragon Heart DustDate: March 2016.Source: http://blog.csdn.net/han_xiaoyang/article/details/50856583http://blog.csdn.net/longxinchen_ml/article/details/50903658Disclaimer: Copyright, reprint please contact the author and indicate the source1.Key ContentIntroductionThe system is based on the CVPR2015 of the paper "deep learning of Binary Hash Codes for Fast image retrieval" Implementation of

Deep Learning Source code Collection-Continuous update ... Zouxy09@qq.com Http://blog.csdn.net/zouxy09 Collected some source code for deep learning. The main is MATLAB and C + +, of course, there are python. Put it here and follow up with new updates that will continue. The

Introduction to Python's shallow copy, deep copy, and reference mechanism, and introduction to python's Reference Mechanism I encountered some problems this week and realized that if the basic knowledge has not been consolidated for a period of time, I still need to review it. Here I will take a note and record it. Prefix First, briefly describe the problem encountered. The requirement is to write two print results. As you can see, a points to a list

] Top selfies According to the convnet: "recommending music on Spotify and deep learning" [GitHub] "deepstereo:learning to Predict New views from the world ' s Imagery" [arxiv] Classifying street signs: "The power of spatial Transformer Networks" [blog] with "spatial Transformer netwo Rks " [arxiv] "Pedestrian Detection with RCNN" [PDF] Dqn Origi

also in "Tensorflow:large-scale machine learning on heterogeneous distributed Systems" The paper also introduces the design and implementation of the system framework, in which the training cluster which has tested 200-node scale is not comparable to other distributed deep learning frameworks. Google also introduced the Google Play App Store in Wide

have a much smaller variance than they were originally. Machines will be more convenient to learn.The data cleansing and transformation work is done.Decision TreeIf I read my loan or no loan: How can I use Python and machine learning to help you make a decision? Article, you should have a feeling--the question is like a loan approval decision! Since the decision tree is very good in this article, do we con

This article is from: Http://jmozah.github.io/links/Following is a growing list of some of the materials I found on the web for deep Learni ng Beginners. Free Online Books Deep learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and deep learn