Deploy an Image Classification Model Using Flask
Overview Get an overview of PyTorch and Flask Learn to build an image classification model in PyTorch Learn how to deploy the model using …
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Deep Learning
Facebook AI Launches DEtection TRansformer (DETR) – A Transformer based Object Detection Approach!
Introduction Every once in a while, a machine learning framework or library changes the landscape of the field. Today, Facebook open sourced one such …
Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow)
Introduction I had the pleasure of volunteering for ICLR 2020 last week. ICLR, short for International Conference on Learning Representations, is one of the …
A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers
Overview Looking to crack your next deep learning interview? You’ve come to the right place! We have put together a list of popular deep …
Build your Own Object Detection Model using TensorFlow API
The World of Object Detection I love working in the deep learning space. It is, quite frankly, a vast field with a plethora of …
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 …
TensorFlow 2.0 Tutorial for Deep Learning
TensorFlow 2.0 – a Major Update for the Deep Learning Community Just when I thought TensorFlow’s market share would be eaten by the emergence …
Top 6 Open Source Pretrained Models for Text Classification you should use
Introduction We are standing at the intersection of language and machines. I’m fascinated by this topic. Can a machine write as well as Shakespeare? …
Top Highlights from TensorFlow Dev Summit 2020!
Introduction TensorFlow is a popular and leading open-source framework for developing machine learning and deep learning applications. Developed and pioneered by Google, TensorFlow is …
Getting into Deep Learning? Here are 5 Things you Should Absolutely Know
Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. Concepts like hidden layers, convolutional neural networks, backpropagation …
