Dive Into TensorFlow, Part V: Deep MNIST

This is the fifth article in the series “Dive Into TensorFlow“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with TensorFlow Part II: Basic Concepts Part III: … Continue reading →

fastText for Fast Sentiment Analysis

fastText is a Library for fast text representation and classification which recently launched by facebookresearch team. The related papers are “Enriching Word Vectors with Subword Information” and “Bag of Tricks for Efficient Text Classification“. I’m very interested in the text … Continue reading →

Dive Into TensorFlow, Part IV: Hello MNIST

This is the fourth article in the series “Dive Into TensorFlow“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with TensorFlow Part II: Basic Concepts Part III: … Continue reading →

Dive Into NLTK, Part IX: From Text Classification to Sentiment Analysis

This is the ninth article in the series “Dive Into NLTK“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with NLTK Part II: Sentence Tokenize and Word … Continue reading →

Dive Into TensorFlow, Part III: GTX 1080+Ubuntu16.04+CUDA8.0+cuDNN5.0+TensorFlow

This is the third article in the series “Dive Into TensorFlow“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with TensorFlow Part II: Basic Concepts Part III: … Continue reading →

Dive Into TensorFlow, Part II: Basic Concepts

This is the second article in the series “Dive Into TensorFlow“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with TensorFlow Part II: Basic Concepts (this article) … Continue reading →

Dive Into TensorFlow, Part I: Getting Started with TensorFlow

TensorFlow is one of most popular open source deep learning libraries launched by Google. This is the first article in a series where I will give a detail tutorial about TensorFlow, here is an index of all the articles in … Continue reading →

Deep Learning for NLP resources from Github

Two list of “Deep Learning for NLP resources” from github, just for reference: Deep Learning for NLP resources: Introductory and state of the art resources for NLP sequence modeling tasks like dialog. from https://github.com/andrewt3000/DL4NLP Deep-Learning-for-NLP-Resources: List of resources to get … Continue reading →

TextProcessing – A Text Processing Portal for Humans

I have launched a website TextProcessing for text processing resources collection. Till now it just add about 60 text processing related courses, books and projects which include Python, Java, C/C++, Ruby, Scala, Perl mainly focused on the open source project. … Continue reading →

CourseMiner – Mining Course for World

I have launched a website CourseMiner for open courses mining, which used simple text mining methods like tag extraction (keyword or keyphrase extraction) and document similarity or text similarity computing. Till now it just add Coursera and edX platform, and … Continue reading →