Image Augmentation for Deep Learning using PyTorch – Feature Engineering for Images
Overview Image augmentation is a super effective concept when we don’t have enough data with us We can use image augmentation for deep learning …
CNN
4 Proven Tricks to Improve your Deep Learning Model’s Performance
Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk …
Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch
Overview The art of transfer learning could transform the way you build machine learning and deep learning models Learn how transfer learning works using …
It’s a Record-Breaking Crowd! A Must-Read Tutorial to Build your First Crowd Counting Model using Deep Learning
Crowd counting has been an inexact science for decades. Build your first crowd counting algorithm with an impressive accuracy using Deep Learning
Rosetta – How Facebook uses Machine Learning to Process Text in Billions of Images
Facebook’s researchers have revealed how they use ML to process text from billions of images each day to provide an enriching user experience.
Classifying and Decoding Historical Texts and Images using CNNs!
A team of researchers have built a machine learning algorithm to detect, isolate and classify historical graffiti using techniques like CNN.
Automatic Image Captioning using Deep Learning (CNN and LSTM) in PyTorch
Introduction Deep Learning is a very rampant field right now – with so many applications coming out day by day. And the best way …
Google Brain’s Image Manipulation Algorithm Fools Both Humans and Machines
Overview Researchers at Google Brain developed an algorithm that can fool both humans and machines The algo changes the image only slightly, but it’s …
11 most read Deep Learning Articles from Analytics Vidhya in 2017
Introduction This is that time of year, when you reflect on the year gone by. 2017 has been a year of growth for us at …
Architecture of Convolutional Neural Networks (CNNs) demystified
Introduction I will start with a confession – there was a time when I didn’t really understand deep learning. I would look at the …
