The 15 must-have things to build a Deep Learning workstation…

Hello World !!!

The field of Data Science or Artificial Intelligence is challenging because of it’s Disruptive nature. Every year hundreds of GOOD papers/techniques are open sourced which claim to be state-of-the-art and it’s very hard to keep up with all of them. I find a combination of theory and practice to be very effective for learning new things. Quickly skim through the paper and jump on to the code to feel how it works. And of course this is an iterative process.

What is Deep Learning

Deep Learning is a subset of Machine…

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credits Unsplash

Edge detection is a basic but important task in Computer Vision. It is usually done to reduce the amount of data yet preserving the structural properties of the objects in the image. The popular tasks that use edge detection are lane detection and converting an image into a sketch.

Although there are a lot of algorithms for edge detection, today we are going to discuss Canny Edge Detection algorithm (by John F. Canny in 1986).

import numpy as np
import cv2
import matplotlib.pyplot as plt
%matplotlib inline

It is a multi-stage algorithm :

Step 1: Noise reduction using Gaussian blur :

A Gaussian filter is convolved over the…

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Hello World !!!

In my quest of learning Computer vision I am starting with small datasets and less complex problems. So, today I am trying my hands on a kaggle problem which is basically an Image Classification problem from Kaggle

pls visit github for jupyter notebook


To assess the impact of climate change on Earth’s flora and fauna, it is vital to quantify how human activities such as logging, mining, and agriculture are impacting our protected natural areas. Researchers in Mexico have created the VIGIA project, which aims to build a system for autonomous surveillance of protected areas. A first…

Rahul Bakshee

Data Science Consultant working on Computer vision, Deep Learning and Machine Learning problems.

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