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This is going to be a series of blog posts on the Deep Learning book where we are attempting to provide a summary of each

#2 Research Paper Explained | Paper Released June 2018 The doors this paper unlocks for the machine learning community are amazing. The tiny network actually plays

Seeing the same doctor (GP and specialists) over a number of years may be a matter of life and death, according to a study published

Today I have found my temporarily forgotten Rpi3 (named Wombat, like the Australian marsupial), and I thought about how I wanted to try to run

Artificial intelligence is the future of the technological football and now some of the world’s most advanced artificial intelligence and machine learning can be developed

What do these terms mean in the Deep Learning world? Sigmoid Neuron Sigmoid Neuron: What it does? Read more here. Adam Optimization Dropout Regularization Source: Deep

It’s a long and noble Hollywood tradition: an actor scores the coveted Academy Award at long last, and then promptly squanders that industry cachet on

Recent advances in machine learning have demonstrated that AI outperforms classical software in domains such as computer vision, speech recognition and language translation. The adoption

In my previous article, I wrote about Latent collaborative filtering and why it is one of the most used collaborative filtering algorithms. In summary, We

I was recently brushing up on basics of neural networks when the infamous concept of regularization caught my eye. I had previously read about the

Neste post irei descrever a minha experiência ao criar uma CNN de reconhecimento de números escritos manualmente através do dataset Mnist, utilizando o python através

This post details the techniques used for soda bottle identification from a set of images posted as part of the Deep Cognition Soda Bottle Identification