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 and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
Software that understands muscle-controlled limb movement would be able to translate neural signals into instructions for automated arms or legs.
From countering an invasion of aliens to demolishing a wall with a ball – AI outperforms humans after just 20 minutes of training.
Harnessing the power of AI’s image recognition and deep learning may significantly reduce the cost of visual quality control.
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.
Tired of overly theoretical introductions to deep learning? Experiment hands-on with CIFAR-10 image classification with Keras by running code in Neptune.
We’ve open sourced image classification sample solution that lets data scientists start competing in the currently running Kaggle Cdiscount competition.
Monitoring brand visibility is an important business problem. We describe our solution for logo detection and visibility analytics with deep learning.
We apply three different deep learning models to reproduce state-of-the-art results in single image super resolution.