Can you Lie to your Deep Learning Model?
Can you fool your deep learning model? What does lying to your deep learning model even entail? This question we’re sure most of you …
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Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN)
Introduction Convolutional neural networks (CNN) – the concept behind recent breakthroughs and developments in deep learning. CNNs have broken the mold and ascended the …
CNN vs. RNN vs. ANN – Analyzing 3 Types of Neural Networks in Deep Learning
Overview Check out 3 different types of neural networks in deep learning Understand when to use which type of neural network for solving a …
Demystifying the Mathematics Behind Convolutional Neural Networks (CNNs)
Overview Convolutional neural networks (CNNs) are all the rage in the deep learning and computer vision community How does this CNN architecture work? We’ll …
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 …
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.
