Bayesian Deep Learning Part II： Bridging PyMC3 and Lasagne to build a Hierarchical Neural Network
(c) 2016 by Thomas Wiecki
Deep Learning for Chatbots, Part 2 – Implementing a Retrieval-Based Model in Tensorflow
The Code and data for this tutorial is on Github.
A tour of Factor： 4
The object system and protocols
Learning in Brains and Machines (3)： Synergistic and Modular Action
· Read in 9 minutes · 1796 words · All posts in series ·
First Order Optimization Methods
One of the biggest mysteries for beginners in neural networks is figuring out when to use which optimization method. This post focuses on describing popular first-order methods: SGD, Momentum, Nesterov Momentum, Adagrad, RMSProp and Adam.
Simple reinforcement learning methods to learn CartPole
I’ve been experimenting with OpenAI gym recently, and one of the simplest environments is CartPole. The problem consists of balancing a pole connected with one joint on top of a moving cart. The only actions are to add a force of -1 or +1 to the cart, pushing it left or right.
Data Science Challenges
This post is thoughts for a talk given at the UN Global Pulse lab in Kampala as part of the second Data Science in Africa Workshop at the UN Global Pulse Lab in Kampala, Uganda. It covers challenges in data science.
Analysing NLP publication patterns
Recently, I got curious about finding out how much different institutions publish in my area. Does Google publish more than Microsoft? Which university has the strongest publication record in NLP? And are there any interesting trends that can be seen in the recent years? Quantity does not necessarily equal quality, but the number of publications is still a reasonable indicator of general activity in the field, how big the research group is, and how outward-facing are the research projects.
Building a Data Science Portfolio： Storytelling with Data
The following post by Vik Paruchuri, founder of data science learning platform Dataquest, offers some detailed and instructive insight about data science workflow (regardless of the tech stack involved, but in this case, using Python). We re-publish it here for your convenience.