Bias-Variance trade-off in Machine Learning

by Ankit Sachan • January 17, 2018

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 with a real-world example. Fukushima power plant disaster: Failure of predictive modeling What does a nuclear power plant disaster have to do with machine learning? The safety plan for Fukushima Daiichi nuclear power plant was […]

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Object Detection using Single Shot Multibox Detector

by koustubh • January 2, 2018

In a previous post, we covered various methods of object detection using deep learning. In this blog, I will cover Single Shot Multibox Detector in more details. SSD is one of the most popular object detection algorithms due to its ease of implementation and good accuracy vs computation required ratio. Work proposed by Christian Szegedy […]

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Zero to Hero: Guide to Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD

by Ankit Sachan • December 28, 2017

In this post, I shall explain object detection and various algorithms like Faster R-CNN, YOLO, SSD. We shall start from beginners’ level and go till the state-of-the-art in object detection, understanding the intuition, approach and salient features of each method. What is Image Classification?: Image classification takes an image and predicts the object in an […]

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Fine-tuning Convolutional Neural Network on own data using Keras Tensorflow

by Ankit Sachan • December 14, 2017

Keras is winning the world of deep learning. In this tutorial, we shall learn how to use Keras and transfer learning to produce state-of-the-art results using very small datasets. We shall provide complete training and prediction code. For this comprehensive guide, we shall be using VGG network but the techniques learned here can be used […]

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Tensorflow tutorials

Freeze Tensorflow models and serve on web

by Ankit Sachan • October 4, 2017

In this tutorial, we shall learn how to freeze a trained Tensorflow Model and serve it on a webserver. You can do this for any network you have trained but we shall use the trained model for dog/cat classification in this earlier tutorial and serve it on a python Flask webserver.  So you trained a new […]

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