background preloader


Facebook Twitter

AI. Deep Learning News - Deep Learning News. Introduction to Deep Learning Algorithms — Notes de cours IFT6266 Hiver 2010. See the following article for a recent survey of deep learning: Yoshua Bengio, Learning Deep Architectures for AI, Foundations and Trends in Machine Learning, 2(1), 2009 Depth The computations involved in producing an output from an input can be represented by a flow graph: a flow graph is a graph representing a computation, in which each node represents an elementary computation and a value (the result of the computation, applied to the values at the children of that node).

Introduction to Deep Learning Algorithms — Notes de cours IFT6266 Hiver 2010

Consider the set of computations allowed in each node and possible graph structures and this defines a family of functions. Input nodes have no children. The flow graph for the expression could be represented by a graph with two input nodes and , one node for the division taking as input (i.e. as children), one node for the square (taking only. Very Brief Introduction to Machine Learning for AI — Notes de cours IFT6266 Hiver 2010. The topics summarized here are covered in these slides.

Very Brief Introduction to Machine Learning for AI — Notes de cours IFT6266 Hiver 2010

Intelligence The notion of intelligence can be defined in many ways. Here we define it as the ability to take the right decisions, according to some criterion (e.g. survival and reproduction, for most animals). To take better decisions requires knowledge, in a form that is operational, i.e., can be used to interpret sensory data and use that information to take decisions. Artificial Intelligence Computers already possess some intelligence thanks to all the programs that humans have crafted and which allow them to “do things” that we consider useful (and that is basically what we mean for a computer to take the right decisions).

Welcome — Theano 0.7rc1 documentation. How to Seek Help¶ The appropriate venue for seeking help depends on the kind of question you have.

Welcome — Theano 0.7rc1 documentation

How do I? – theano-users mailing list or StackOverflowI got this error, why? – theano-users mailing list or StackOverflow (please include the full error message, even if it’s long)I got this error and I’m sure it’s a bug – Github ticketI have an idea/request – post the suggestion to theano-dev or, even better, implement the idea and submit a GitHub pull request!

Why do you? Please do take some time to search for similar questions that were asked and answered in the past. When asking questions on StackOverflow, please use the theano tag, so your question can be found, and follow StackOverflow’s guidance on asking questions. It’s often helpful to include the following details with your question: Spending the time to create a minimal specific example of a problem is likely to get you to an answer quicker than posting something quickly that has too much irrelevant detail or is too vague. Cluster analysis. The result of a cluster analysis shown as the coloring of the squares into three clusters.

Cluster analysis

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics. Besides the term clustering, there are a number of terms with similar meanings, including automatic classification, numerical taxonomy, botryology (from Greek βότρυς "grape") and typological analysis. The subtle differences are often in the usage of the results: while in data mining, the resulting groups are the matter of interest, in automatic classification the resulting discriminative power is of interest.

Definition[edit] Algorithms[edit] Uncertainty in deep learning and neural network? I do not feel that way! Uncertainty in deep learning and neural network?

Uncertainty in deep learning and neural network? I do not feel that way!

I do not feel that way! As you might know, neural networks are often in the news these days, with many success stories. Neural networks are now the state-of-the-art algorithm to understand complex sensory data such as images, videos, speech, audio, voice, music, etc. Neural networks recently got rebranded under the name Deep Learning (DL) or deep neural networks.

In 2012 they made the news when they outperformed by more than 10% any other algorithm in a industry-standard image dataset: They also had similar improvements in speech recognition, up to 20%: And in many other tasks. Yet industries and investors are wary. They often see new algorithms come and go, almost on a year-to-year basis. Deep Learning. Large Network Dataset Collection. Datasets for Data Mining and Data Science. See also.

Datasets for Data Mining and Data Science

Kaggle: The Home of Data Science. Public Data Sets on AWS. Click here for the detailed list of available data sets.

Public Data Sets on AWS

Here are some examples of popular Public Data Sets: NASA NEX: A collection of Earth science data sets maintained by NASA, including climate change projections and satellite images of the Earth's surface Common Crawl Corpus: A corpus of web crawl data composed of over 5 billion web pages 1000 Genomes Project: A detailed map of human genetic variation Google Books Ngrams: A data set containing Google Books n-gram corpuses US Census Data: US demographic data from 1980, 1990, and 2000 US Censuses Freebase Data Dump: A data dump of all the current facts and assertions in the Freebase system, an open database covering millions of topics The data sets are hosted in two possible formats: Amazon Elastic Block Store (Amazon EBS) snapshots and/or Amazon Simple Storage Service (Amazon S3) buckets. If you have any questions or want to participate in our Public Data Sets community, please visit our Public Data Sets forum.

Research-quality data sets. Machine Learning Repository.