Andrew Ng Deep Learning Specialization: Best Deep Learning Course for Beginners and Deep Learners

Andrew Ng’s Deep Learning Specialization has launched before August 15, 2017, and everyone can enroll it by Coursera and learning the Deep Learning Course free for seven days and then cost 49 dollars per month. I have enrolled the deep … Continue reading →

Training a Japanese Wikipedia Word2Vec Model by Gensim and Mecab

After “Training a Chinese Wikipedia Word2Vec Model by Gensim and Jieba“, we continue “Training a Japanese Wikipedia Word2Vec Model by Gensim and Mecab” with “Wikipedia_Word2vec” related scripts. Still, download the latest Japanese Wikipedia dump data first: https://dumps.wikimedia.org/jawiki/latest/jawiki-latest-pages-articles.xml.bz2. You can use … Continue reading →

Training a Chinese Wikipedia Word2Vec Model by Gensim and Jieba

We have posted two methods for training a word2vec model based on English wikipedia data: “Training Word2Vec Model on English Wikipedia by Gensim” and “Exploiting Wikipedia Word Similarity by Word2Vec“. Based on the pipeline and related scripts: Wikipedia_Word2vec,we can train … Continue reading →

Dive Into NLTK, Part X: Play with Word2Vec Models based on NLTK Corpus

This is the tenth 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 VI: Beyond Deep Learning

This is the sixth 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 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 →

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 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 →