theano deep learning

1. Why add pooling (pooling) to the convolutional networkIf you only use convolutional operations to reduce the size of the feature map, you will lose a lot of information. So think of a way to reduce the volume of stride, leaving most of the information, through pooling to reduce the size of feature map.Advantages of pooling:1. Pooled operation does not increase parameters2. Experimental results show that the model with pooling is more accurateDisadvantages of pooling:1. Because the stride of t

CSS deep understanding of learning notes-margin and css learning notes-margin 1. margin and container size Element size: ① visible size clientWidth (standard); ② occupying size 　　 Margin and visual size: ① applicable to normal block elements without width/height; ② applicable only to horizontal dimension Margin and occupy size: ① block/inline-block horizontal ele

Deep understanding of CSS learning notes border and css learning notes 1. border-width Border-width does not support percentages: semantics and scenarios are determined. In reality, the concepts of borders do not support percentages. Border-width supports keywords: thin, medium (default), and thick. The values are 1px, 3px, and 5px (except IE7 ). Why is the defau

above. Move right to erase the non-0-bit to the right of the decimal points of the result. These non-0 bits are actually positive, but because they are erased, the result subtracts the values of the non-0 bits represented by the original negative result, and the final result is rounded down rather than rounded to 0. Floating point number: Standard for representing floating-point numbers and their operations: IEEE Standard 754. Floating-point numbers are normalized, non-nor

-bit integer. From -9223372036854775808 to 9223372036854775807. BinaryfieldStores binary data.BooleanfieldA field that stores true/false.CharfieldStores the string. Parameter max_length must exist.CommaseparatedintegerfieldIntegers separated by commasDatefieldStorage date, there are several additional parameters, Auto_now,auto_now_add.DatetimefiledStores the date and time.DecimalfieldStores decimals.EmailfieldA valid e-mail address value in the form of CharfieldFilefieldA field for uploading fil

insert for parent-child class:Deletion of file operations: Remove (): Delete this tab and the contents Empty (): The content is only the case, but the label is retained jquery Event Binding Supplemental delegate$ (' li '). Click (function () { //Method one}) $ (' Li '). On (' click ', Function () { //Method two})//jquery-based delegate binding $ (' TD '). ON (' Click ', '. Td-delete ', function () { $ ('. Remove,. Shade '). Removeclass (' Hide ')})Event Bindings:"More

training, scale presents a problem for deep learning. The need to fully interconnect neurons, particularly in the upper layers, requires immense compute power. The first layer for an image-processing application could need to analyze a million pixels. The number of connections in the multiple layers of a deep network would be the orders of magnitude greater. "Th

The article was transferred from the deep learning public numberDeep learning is a new field in machine learning that is motivated by the establishment and simulation of a neural network for analytical learning of the human brain, which mimics the mechanisms of the human bra

1. Current situation:Deep learning is now very hot, and all kinds of meetings have to be stained with this point. Baidu Brain, Google's brain plan to engage in this. In some areas have achieved very good results, chip recognition, speech recognition, in the security field and even the identification of encryption protocols. The accuracy of the lab in the field of speech is over 90%.2. The essence of deep le

Original link: https://www.paypal-engineering.com/tag/data-science/absrtact: with the explosive growth of data and thousands of machine clusters, we need to adapt the algorithm to run in such a distributed environment. Running machine learning algorithms in a common distributed computing environment has a number of challenges. This article explores how to implement and deploy deep

The history of CNNIn a review of the 2006 Hinton their science Paper, it was mentioned that the 2006, although the concept of deep learning was proposed, but the academic community is still not satisfied. At that time, there was a story of Hinton students on the stage when the paper, machine learning under the Taiwan Daniel Disdain, questioned your things have a

21. Application of Depth neural network in visual significance (visual Attention with deep neural Networks) (English, conference papers, 2015, IEEE Search)This article focuses on the application of CNN in the field of significance detection.　　22. Progress in deep learning Research (Chinese, Journal, 2015, net)A summary article on

Detecting anomalies in IoT time-series data by using deep learning Romeo KienzlerPublished on May 16, 2017 facebooktwitterlinked Ingoogle+e-mail This page 0 content series: This content was part 1 of 5 in the Seri ES: Developing cognitive IoT solutions for anomaly detection by using deep Although predictions are always controversial, Gartner says that there are

since the beginning of the 2016, the use of neural networks and deep learning Alphago to win the Master of Human go, deep learning is also considered to be the closest machine learning approach to AI. from the current development trend of the global AI, the

Original URL: http://www.iteye.com/news/312701. We should see deeper models, which can be learned from fewer training samples compared to today's models, and will make substantial progress in unsupervised learning. We should see more accurate and useful speech and visual recognition systems.2. I expect deep learning to be increasingly used for multi-mode (multi-m

This section begins the Basic theory system learning phase of machine learning and deep learning, and the blog content is the notes that are collated during the learning process.1. Machine learningConcept: Multi-disciplinary interdisciplinary, involving probability theory, s

How Yahoo implements large-scale distributed deep learning on Hadoop Clusters Over the past decade, Yahoo has invested a lot of energy in the construction and expansion of Apache Hadoop clusters. Currently, Yahoo has 19 Hadoop clusters, including more than 40 thousand servers and over Pb of storage. They developed large-scale machine learning algorithms on these

Deep Learning, also known as unsupervised feature learning or feature learning, is a hot topic at present. This article mainly introduces the basic idea and common methods of deep learning. 1. What is

21. Application of Depth neural network in visual significance (visual Attention with deep neural Networks) (English, conference papers, 2015, IEEE Search)This article focuses on the application of CNN in the field of significance detection.　　22. Progress in deep learning Research (Chinese, Journal, 2015, net)A summary article on

The recent deep learning fire not only attracted the attention of the academic community, but also sought after in the industry. In many important evaluations, DL has achieved the effect of state of the art. Especially in terms of speech recognition, DL has reduced the error rate by about 30% and has made significant progress. If the company that uses speech recognition does not use DL, I am sorry to say he