AI News, What is deep learning? Why is this a growing trend in machine learning? Why not use SVMs?
- On Thursday, October 4, 2018
- By Read More
What is deep learning? Why is this a growing trend in machine learning? Why not use SVMs?
Deep learning is a class of methods and techniques that employ artificial neural networks with multiple layers of increasingly richer functionality.
As Jack Rae mentioned in his answer, deep neural networks gained prominence suddenly around 2012 when deep models were able to beat state-of-the-art approaches in traditional machine learning problems such as image classification and speech recognition.
These results generated a lot of buzz, excitement and activity based on the realization that such methods leveraged very effectively massive amounts of data at big tech companies such as Google, Facebook and others.
Such datasets are not only provinces of big tech companies or academic research groups, they can be also created by straightforward methods such as crawling the Internet, or using publicly available open results such as Common Crawl.
In summary, deep learning quickly rose out-of-nowhere by out-performing traditional machine learning approaches and by the emergence of a realization that deep neural networks can be trained and experimented with by many, and not just few researchers at big tech companies and academia.
- On Friday, January 18, 2019
Lecture 2 | Word Vector Representations: word2vec
Lecture 2 continues the discussion on the concept of representing words as numeric vectors and popular approaches to designing word vectors. Key phrases: ...
Lecture 3 | GloVe: Global Vectors for Word Representation
Lecture 3 introduces the GloVe model for training word vectors. Then it extends our discussion of word vectors (interchangeably called word embeddings) by ...
Lecture 5: Backpropagation and Project Advice
Lecture 5 discusses how neural networks can be trained using a distributed gradient descent technique known as back propagation. Key phrases: Neural ...
Natural Language Processing With Python and NLTK p.1 Tokenizing words and Sentences
Natural Language Processing is the task we give computers to read and understand (process) written text (natural language). By far, the most popular toolkit or ...
Visualizing Data Using t-SNE
Google Tech Talk June 24, 2013 (more info below) Presented by Laurens van der Maaten, Delft University of Technology, The Netherlands ABSTRACT ...
Text By the Bay 2015: Mike Tamir, Classifying Text without (many) Labels
Supervised text classification is often hampered by the need to acquire relatively expensive labeled training sets. In some embodiments of the systems and ...
9 1 Information Extraction and Named Entity Recognition Introducing the tasks 9 18
Playground of Evol Adventures - Rogier van der Geer, Vincent D. Warmerdam
Description In this talk we want to speak about a number of adventures we have had applying evolutionary algorithms to board games, card games and anything ...