Stanford University: Tensorflow for Deep Learning Research
No class on Friday, Feb 2. See syllabus. For the last year's website, visit here TensorFlow is a powerful open-source software library for machine learning developed by researchers at Google. It has many pre-built functions to ease the task of building different neural networks. TensorFlow allows distribution of computation across different computers, as well as multiple CPUs and GPUs within a sin
Stanford University CS224d: Deep Learning for Natural Language Processing
Please see cs224n.stanford.edu for the current (Winter 2017) version of this class. Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement, email
Stanford University CS224d: Deep Learning for Natural Language Processing
CS224d: Deep Learning for Natural Language Processing Reports for 2015 Project NameAuthors Classifying responses on online discussion forums Aaron Abajian Opinion Tagging Using Deep Recurrent Nets with GRUs Alex Adamson / Vehbi Deger Turan Entity Level Sentiment Analysis for Amazon Web Reviews Y. Ahres / N. Volk MT using RNNs enriched with Universal Anonymous Selecting Best Answers from Question-A
Stanford University CS224d: Deep Learning for Natural Language Processing
Schedule and Syllabus Unless otherwise specified the course lectures and meeting times are: Tuesday, Thursday 3:00-4:20 Location: Gates B1
Unsupervised Feature Learning and Deep Learning Tutorial
Description: This tutorial will teach you the main ideas of Unsupervised Feature Learning and Deep Learning. By working through it, you will also get to implement several feature learning/deep learning algorithms, get to see them work for yourself, and learn how to apply/adapt these ideas to new problems. This tutorial assumes a basic knowledge of machine learning (specifically, familiarity with t
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Stanford University: Tensorflow for Deep Learning Research
https://web.stanford.edu/~cpiech/bio/papers/deepKnowledgeTracing.pdf
