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December 10, 2019
How to Use Attention in End-to-End Automatic Speech Recognition
We describe our progression from a traditional ASR system to one with an Encoder-Attention-Decoder architecture, and discuss
December 10, 2019
Tips on Faster GAN Training and Achieving Better Results
After participating in a contest to train a generative adversarial network (GAN) on the Stanford dog dataset to generate new
December 10, 2019
Securing Microsoft Windows*: Machine Learning for Cybersecurity
Learn how we created a recurrent neural network that detects anomalous events in Windows*. We also explore how different neur
December 10, 2019
Local Interpretable Model-Agnostic Explanations (LIME) — the ELI5 Way
Machine learning models can seem complex when trying to understand why a model predicts what it does. This article describes
December 10, 2019
Google* Research Football Environment: Install and Train an RL Agent...
Google* recently released their Research Football Environment. This article breaks down its complexities and summarizes how w
December 10, 2019
Segmentation Using Generative Adversarial Networks
Image segmentation is often done using Mask-RCNN, U-Net, and other techniques. This article describes how image segmentation
April 18, 2019
Distributed Training of Deep Learning Models with PyTorch*
The motive of this article is to demonstrate the idea of distributed computing in the context of training large scale deep le
April 18, 2019
Implementing Attention Models in PyTorch*
Recurrent Neural Networks have been the recent state-of-the-art methods for various problems whose available data is sequenti
April 18, 2019
Towards Privacy-Preserving Machine Learning
When Artificial Intelligence involves some type of sensitive data, the problem is how to maintain the data privacy and securi
Vehicle Detection involves finding whether there is vehicle present or not secondly which type of vehicle is present and how
Cash Recognition for the Visually Impaired: A project to make monetary transactions easier for visually impaired Nepalese with machine learning and AI
Cash Recognition for the Visually Impaired: A project to make monetary transactions easier for visually impaired Nepalese with machine learning and AI