When training a Convolution Neural Network on a custom dataset, picking the right image is crucial. This will impact the training time & performance of the model. Also, we will learn how to identify if there are any issues with the dataset. — Why? Before we jump to how part, Let us discuss the negative consequence of choosing the wrong size. After we pick a fixed width and height, the standard procedure is to resize all the images to this fixed size. So, now every image falls into one of the two buckets.

A lot of factors can affect the performance of a Deep Neural Network. Let’s see how we can set up a PyTorch pipeline for Image augmentation (with help of Albumentations Python library), and use visualization to find any potential issue before it costs you time and money. — In software development when something is wrong, usually we get an error, but with data science this is not the case. If the model is not performing well, then the general approach is to alter the model architecture or tune hyperparameters and train more. …

We will use OpenCV to identify the number of stamps in a picture. — Background A friend of mine reach out and asked me whether I could write a program to detect the number of Rubber stamps in an image. Apparently, these invoice receipts will be categorized based on the number of stamps on them. Initially, I thought of building a Deep Learning Segmentation model…

Introduction We all know how crucial the navigation bar is for websites. But most websites don’t have a good one. Why? Because responsive design for navigation a bar is not easy. How is the navigation bar different? Usually, when we build a responsive layout using ChakraUI, the common approach is to stack the components horizontally for larger…

Let me explain with an example. — Introduction Partial functions allow us to fix values for some arguments of a function and generate a new function. The common example for partial function would be: This example is a solid starter example for partial functions, but feels more like a syntactic sugar rather than functionality gain. …

Writing type hints for function arguments is a good start, but as the name suggests, it only hints at the data type of argument. When the functionality of the code depends on the data type of argument, then we must put validations in place. — Introduction Type hints are great, they help you to write better code and reduce documentation required for external users or downstream software developers. However, type hints do not validate the input from the user. In my opinion, without any validation, you are playing the odds, but if you are up for…

Step up your Markdown game with useful and practical tips. — 1. Align Images Horizontally Want to display images side by side for comparison? Place the images inside a table. Have the image caption as the title. 2. Using Reference for Links Don’t repeat yourself by typing the URL multiple times in the same Markdown file. …

Markdown’s code block is great for writing code snippets. However, when you try to publish or share it via blogging platform there are some shortcomings. Gist can help to bridge the gap. Gist makes your blog look better & easier to maintain. In this post, Let us see how automated gist creation can improve your technical blogging experience. — Gist Intro Gist is a GitHub repository where you can store & share code/data with others. A single gist can store multiple files. Syntax highlighting is supported based on the file extension type, so be careful when you name the file. Gists can be public or secret. …

Build a digit emoji predictor in Jupyter notebook by passing data between JavaScript & Python. Typically, JavaScripts are used for data visualization in notebooks, but it can also be used for prototyping front-end/UI for deep learning models. — Why the hell build UI in Notebook? Short Answer: Share the Deep Learning model notebook with colleagues from different teams like Business, Data Science, Front End developer, DevOps for their opinion before the real software development takes place.