2020-01-30

Using Kaggle Datasets in Google Colab

< 1 min Steps: Create an API key in Kaggle.To do this, go to kaggle.com/ and open your user settings page.  Next, scroll […]
2020-01-30

Getting Started With Google Colab

5 mins read If you want to create a machine learning model but say you don’t have a computer that can take the […]
2020-01-30

Understanding Gated Recurrent Unit (GRU) with PyTorch code

21 mins read The Gated Recurrent Unit (GRU) is the younger sibling of the more popular Long Short-Term Memory (LSTM) network, and also a […]
2020-01-30

Understanding Long Short-Term Memory Networks (LSTM) with PyTorch codes

24 mins read LSTMs are a particular variant of RNNs, therefore having a grasp of the concepts surrounding RNNs will significantly aid your […]
2020-01-28

Recurrent Neural Networks (RNN) with PyTorch

22 mins read Recurrent Neural Networks(RNNs) have been the answer to most problems dealing with sequential data and Natural Language Processing(NLP) problems for […]
2020-01-28

A complete guide to Python’s magic methods with example

33 mins read Introduction What are magic methods? They’re everything in object-oriented Python. They’re special methods that you can define to add “magic” […]
2020-01-16

Common regression loss functions with Python code

14 mins read All the algorithms in machine learning rely on minimizing or maximizing a function, which we call “objective function”. The group […]
2020-01-15

Understanding Object Detection using YOLO with Python implementation

21 mins read Introduction How easy would our life be if we simply took an already designed framework, executed it, and got the […]
2020-01-14

Understanding the fundamentals of Deep Learning and Convolution Neural Networks with Keras codes

55 mins read Introduction Did you know the first neural network was discovered in the early 1950s? Deep Learning (DL) and Neural Network […]
2020-01-08

Learn PyTorch basics step by step

29 mins read Introduction PyTorch is the fastest-growing Deep Learning framework and it is also used by Fast.ai in its MOOC, Deep Learning for Coders, and its library. PyTorch is also […]
2020-01-08

PyTorch Graphs, Automatic Differentiation, and Autograd

14 mins read Table of content: Understanding Graphs, Automatic Differentiation, and AutogradBuilding Your First Neural NetworkGoing Deep with PyTorchMemory Management and Using Multiple […]
2020-01-07

Python Data Structures and operations time complexity

< 1 min Here is a list of references for the time complexity of operations in different Python Data structures: https://intellipaat.com/blog/tutorial/python-tutorial/data-structures-with-python-cheat-sheet/ https://cooervo.github.io/Algorithms-DataStructures-BigONotation/index.html https://wiki.python.org/moin/TimeComplexity […]
2020-01-02

A tutorial on Histogram of Oriented Gradients (HOG) Feature Descriptor in Computer Vision with Python code

17 mins read Introduction Feature engineering is a game-changer in the world of machine learning algorithms. It’s actually one of my favorite aspects […]
2019-12-31

Hough Transform implementation in Python

6 mins read The Hough transform (Duda and Hart, 1972), which started out as a technique to detect lines in an image, has been […]
2019-12-30

Understanding Fourier Transform in images

11 mins read Table of Contents cv2 and mss basic Image Fourier Transform – Introduction and Basics Image Fourier Transform – Fourier Transform […]
2019-12-27

Deep dive to super() method in Python for single and multiple inheritance

15 mins read While Python isn’t purely an object-oriented language, it’s flexible enough and powerful enough to allow you to build your applications […]
2019-12-27

Understanding __new__ and __init__ magic methods in Python

4 mins read The purpose of this post is to discuss __new__ and __init__ methods in Python. The __new__ and __init__ methods behave differently between themselves and between the old-style […]
2019-12-27

Python __new__ magic method explained

10 mins read Python is an Object-oriented language, everything is an object in python. Python is having a special type of method called […]
2019-12-26

Observer Design pattern

14 mins read Intent Observer is a behavioral design pattern that lets you define a subscription mechanism to notify multiple objects about any events […]
2019-12-16

A tutorial on Motion Estimation with Optical Flow with Python Implementation

26 mins read Recent breakthroughs in computer vision research have allowed machines to perceive their surrounding world through techniques such as object detection for detecting […]