- 【博客】How To Code Your Own Personal Assistant Using Python Programming
In this article, I’m sharing the efforts of a programmer to create his own python-powered personal assistant. Using open source libraries for text-to-speech conversion and speech recognition, he describes a way to create a personal “Jarvis”.
2.【博客】Asynchronous n-steps Q-learning
Q-leaning in the most famous Temporal Difference algorithm. Original Q-learning algorithm tries to determine the state-action value function that minimizes the error below.
3.【代码】YouTube Like Count Predictor
This a tool for getting youtube video like count prediction.A Random Forest model was used for training on a large dataset of ~3,50,000 videos.Feature engineering,Data cleaning, Data selection and many other techniques were used for this task.
4.【教程】Tutorial on Deep Learning
5.【博客】Food Classification with Deep Learning in Keras / Tensorflow
As an introductory project for myself, I chose to use a pre-trained image classifier that comes with Keras, and retrain it on a dataset that I find interesting. I'm very much into good food and home cooking, so something along those lines was appetizing.
In the paper, Food-101 – Mining Discriminative Components with Random Forests, they introduce the Food-101 dataset. There are 101 different classes of food, with 1000 labeled images per class available for supervised training.