AI Monthly digest #1 – AI stock trading & Kaggle record
AI-based stock trading, a record-breaking competition on Kaggle and more stories cherry-picked from all the interesting ML- and AI-related news from September.
Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning
In our previous post, we gave you an overview of the differences between Keras and PyTorch, aiming to help you pick the framework that’s better suited to your needs. Now, it’s time for a trial by combat. We’re going to pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We […]
How machine learning improves business efficiency – five practical examples
Deloitte estimates that in 2021 enterprise spending on artificial intelligence and machine learning projects will reach 57 billion dollars
When predictive analytics in football fall short (an example)
German team – the one Goldman Sachs picked with predictive analytics as the probable world champ – failed to get out of its group for the first time in 80 years.
What is reinforcement learning? The complete guide
Although machine learning is seen as a monolith, this cutting-edge technology is diversified, with various sub-types including machine learning, deep learning, and the state-of-the-art technology of deep reinforcement learning.
Keras or PyTorch as your first deep learning framework
Keras and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
Learning to run – an example of reinforcement learning
Software that understands muscle-controlled limb movement would be able to translate neural signals into instructions for automated arms or legs.
Playing Atari with deep reinforcement learning – deepsense.ai’s approach
From countering an invasion of aliens to demolishing a wall with a ball – AI outperforms humans after just 20 minutes of training.
Spot the flaw – visual quality control in manufacturing
Harnessing the power of AI’s image recognition and deep learning may significantly reduce the cost of visual quality control.
Artificial intelligence imagining and reasoning about the future
deepsense.ai ML team has been working with Google Brain on helping AI imagine and reason about the future. They started from optimizing TensorFlow’s infrastructure for reinforcement learning and moved to end-to-end training of AI entirely on Google’s newest Cloud TPUs.