Using reinforcement learning to trade multiple stocks through Python and OpenAI Gym | Presented at ICAIF 2020
Our code is available on Github.
One can hardly overestimate the crucial role stock trading strategies play in investment.
Profitable automated stock trading strategy is vital to investment companies and hedge funds. It is applied to optimize capital allocation and maximize investment performance, such as expected return. Return maximization can be based on the estimates of potential return and risk. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. Read More
Daily Archives: August 30, 2020
How to build an image automatic rotator in 24 hours
The simplicity of Neural Network and Keras’ tools.
Recently, I was challenged to do this task which basically asked to use neural networks to predict the image orientation (upright, upside down, left or right) and with that prediction rotate the image to the correct position (upright), all of this in 24 hours! Read More
Google researchers investigate how transfer learning works
Transfer learning’s ability to store knowledge gained while solving a problem and apply it to a related problem has attracted considerable attention. But despite recent breakthroughs, no one fully understands what enables a successful transfer and which parts of algorithms are responsible for it.
That’s why Google researchers sought to develop analysis techniques tailored to explainability challenges in transfer learning. In a new paper, they say their contributions help clear up a few of the mysteries around why machine learning models transfer successfully — or fail to. Read More
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