GranaData
Data science from Granada to the world.
Archive of posts with category 'Deep Learning'
I recently survived the reviewing process of a scientific article called: “Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset” and today I want...
In my previous post about GANs I explained the mathematical proof of why GANs work. The theorem stated that the real data distribution was mimicked by the generator at the...
We have seen in Part 1 and Part 2 that neural architecture search can be used to find hyperparameters and to design recurrent networks. Is there any more use to...
The so-called Generative Adversarial Networks have been with us since 2014, producing amazing results lately. Today I am bringing the proof of why they work. That is, a proof that...
In the previous article we discussed how we can use reinforcement learning to design simple architectures like some types of convolutional neural networks. Today I am bringing to you the...
Today we are going to dive into an idea that some may fear, and others may praise: AI training itself. Well, in reality the idea is a bit different from...
