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Articles by Harshvardhan Gupta
My daily running is 170km on busy highways and around 4000km per month. Right now, I have an Elite i20 petrol with an aftermarket CNG kit, and I spend ₹600 daily. Now I want to upgrade my car to something over 4 metres. Kindly suggest a car with high mile
Share your real-world experience Be the first to help Got a suggestion? Write it here Share your real-world experience Be the first to help Got a suggestion? Write it here The Maruti Suzuki Victoris CNG is a solid choice for your needs. It is economical and suitable for longer trips, has underbody-mounted CNG tanks that do not hamper boot space, and the higher variants are very well equipped.
Using T-SNE to Visualise how your Deep Model thinks
Deep Learning has given us a new way to think about things. Partially, the reason is that they can be made arbitrarily big, allowing them to have immense capacity, and they can be regularised, preventing overfitting. However, it is not very easy to understand how these models work. In this post, I will show a simple technique that allows somebody to somewhat see what the model is doing.
4 Ways to Easily Fool your Deep Neural Net
Neural networks are now being used for a variety of tasks. ChatBots, Image Recognition , Speech to Text, and Automated Translation are some of the areas where Deep Learning is actively replacing other methods. This is mostly because of their great generalisation capabilities when given tons of data. But what about targeted attacks? Is it possible to exploit their workings, and create artificial data that can make them misclassify?
Train your deep model faster and sharper - two novel techniques
Deep neural networks have many, many learnable parameters that are used to make inferences. Often, this poses a problem in two ways: Sometimes, the model does not make very accurate predictions. It also takes a long time to train them. This post talks about increasing accuracy while also reducing training time using two very novel ways. EDIT: This article won the second most popular blog post award in August 2017 by KDNuggets.
Hiding Images using AI - Deep Steganography
Deep Learning is giving us some very new kinds of things. From areas like Style Transfer, to Unsupervised Translation , it is constantly pushing the boundaries of computers. Interestingly, we have not yet reached an upper bound , and new papers with great results seem to come up very often. This post discusses one such new paper — Deep Steganography. This post is based on the NIPS 2017 Paper Hiding Images in Plain Sight: Deep Steganography.
5 Ways to Get Started with Reinforcement Learning
Machine learning algorithms, and neural networks in particular, are considered to be the cause of a new AI ‘revolution’. In this article I will introduce the concept of reinforcement learning but with limited technical details so that readers with a variety of backgrounds can understand the essence of the technique, its capabilities and limitations. At the end of the article, I will provide links to a few resources for implementing RL.
5 Ways to Get Started with Reinforcement Learning
Machine learning algorithms, and neural networks in particular, are considered to be the cause of a new AI ‘revolution’. In this article I will introduce the concept of reinforcement learning but with limited technical details so that readers with a variety of backgrounds can understand the essence of the technique, its capabilities and limitations. At the end of the article, I will provide links to a few resources for implementing RL.
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