Running Deep Learning models in OpenCV
The largest computer vision library OpenCV can now deploy Deep learning models from various frameworks such as Tensorflow, Caffe, Darknet,…
Choosing a Deep Learning Framework: Tensorflow or Pytorch?
One of my friends is the founder and Chief data scientist at a very successful deep learning startup. 2017 was…
Breaking Deep Learning with Adversarial examples using Tensorflow
It's no news that Deep Learning is super effective and powerful in solving computer vision problems. To keep things in…
Bias-Variance trade-off in Machine Learning
In this post, we shall talk about bias-variance trade-off in machine learning and tips and tricks to avoid overfitting/underfitting. Let's start…
Object Detection using Single Shot Multibox Detector
In a previous post, we covered various methods of object detection using deep learning. In this blog, I will cover…
Zero to Hero: Guide to Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD
In this post, I shall explain object detection and various algorithms like Faster R-CNN, YOLO, SSD. We shall start from…
Fine-tuning Convolutional Neural Network on own data using Keras Tensorflow
Keras is winning the world of deep learning. In this tutorial, we shall learn how to use Keras and transfer…
Freeze Tensorflow models and serve on web
In this tutorial, we shall learn how to freeze a trained Tensorflow Model and serve it on a webserver. You…
A quick complete tutorial to save and restore Tensorflow models
In this Tensorflow tutorial, I shall explain: How does a Tensorflow model look like? How to save a Tensorflow model?…
ResNet, AlexNet, VGGNet, Inception: Understanding various architectures of Convolutional Networks
Convolutional neural networks are fantastic for visual recognition tasks. Good ConvNets are beasts with millions of parameters and many hidden layers.…