This week’s show looks at Facebooks’ new DeepText engine, creating art with deep learning and Google Magenta, how to build artificial assistants and bots, and applying economics to machine learning models.
Here are the notes for this week’s show:
DeepText: Facebook’s Text Understanding Engine
Machine Learning and Art
- Google Magenta
- Neural Art
- A Neural Algorithm of Artistic Style
- Neural Art in TensorFlow
- Autoencoding Blade Runner
- Courses:
The Latest TensorFlow Paper
Business of ML & AI
- Microsoft Confirms Microsoft Ventures VC Arm
- Intel Acquires Computer Vision for IOT, Automotive
- Lumiata Closes $10 Million Series B Financing with Intel Capital
- Findo raises $3M to help you find files and documents through natural language queries
More Bots, and How to Build Artificial Assistants
- Motion AI lets anyone easily build a bot
- Sequel lets you create a ‘Me’ bot, beats Google to the punch
- Hybrid Intelligence: How Artificial Assistants Work
The Economics of Machine Learning models
- The preoccupation with test error in applied machine learning
- Towards Cost-Optimized Artificial Intelligence
More Cool Deep Learning posts
- Deep Reinforcement Learning: Pong from Pixels
- A Survey of Deep Learning Techniques Applied to Trading
Just for Fun
Image Credit: Microsoft
