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Mini-batch gradient descent in deep learning explained

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...
Wired

Datasets for Deep Learning

1. MNIST – One of the popular deep learning datasets of handwritten digits which consists of sixty thousand training set examples, and ten thousand test set examples. The time spent in data ...
CMS Wire

Machine Learning Datasets: Build Or Buy?

The data needed to power ML and AI is vast. Organizations need to understand the factors that go into decisions about where or how it will source its data. IFI CLAIMS Patent Services has a global ...
Visual Studio Magazine

Computing the Similarity Between Two Machine Learning Datasets

At first thought, computing the similarity/distance between two datasets sounds easy, but in fact the problem is extremely difficult, explains Dr. James McCaffrey of Microsoft Research. A fairly ...
Science Daily

Can machine-learning models overcome biased datasets?

Researchers have applied the tools of neuroscience to study when and how an artificial neural network can overcome bias in a dataset. They found that data diversity, not dataset size, is key and that ...