Photo by Markus Winkler on Unsplash Introduction In this article, I’ve implemented a program to be used as a quote suggestion system. For this exercise, I used quotes from https://programming-quotes-api.herokuapp.com/ API. Ideally, the software would return similar quotes in...
Beginner’s Guide to Natural Language Processing
Photo by Gia Oris on Unsplash In this article, we’ll try to understand some basic concepts related to Natural Language Processing (NLP). I will be focusing on the theoretical aspects over programming practices. Introduction Why should one...
Scratching surface of RNN, GRU, and LSTM with example of sentiment analysis
Photo by Jez Timms on Unsplash In this article, we’ll be learning about using machine learning on sequential data. Recurrent Neural Networks (RNNs) and Long Short Term Memory (LSTM) are two types of networks that could be used...
Understanding Convolutional Neural Network with Malaria Cell Image Detection
Photo by Tanguy Sauvin on Unsplash In this article, we’ll be learning what is Convolutional Neural Network (CNN) and implement it for Malaria Cell Image dataset. I’ve got the dataset from Kaggle. CNN is a multilayer perceptron which is...
Implementing GAN using Tensorflow 2.0
Photo by Markus Spiske on Unsplash In the previous article, we learned the theoretical concepts of Generative Adversarial Networks. Please check out this blog on “Scratching the surface of Generative Adversarial Network”. In this article, we’ll understand how...
Scratching the surface of Generative Adversarial Networks
Photo by Christopher Burns on Unsplash In this article, we’ll try to understand how computers of today are able to generate fake faces more precisely than any human with the help of GANs. Generative Adversarial Networks(GANs) are a...
Understanding how Deep Q-learning works.
Photo by Louis Reed on Unsplash Deep Q-learning is a reinforcement learning algorithm used for making human-like AI. These AI can perform different tasks based on their past experience. DQN could be thought of as a stepping...
Model-based vs Model-free Reinforcement Learning
Photo by Dominik Scythe on Unsplash Reinforcement learning is a broad field with millions of use cases. All these cases are never similar to each other in the real world. So, Agent should be capable of getting the task done under worst-case...
Understanding how OpenAI gym works
Photo by Ryan Quintal on Unsplash In the recent past, OpenAI has grabbed the attention and awe of many IT professionals. OpenAI has immense community support that tries to create human-like intelligence through reinforcement learning. Additionally, it provides this community with...
How To Use ML To Solve House Price Prediction Problem
Photo by Tom Rumble on Unsplash Introduction There are many sites in the present date that provide house rental services. Customers can rent a place from owners directly from the website. The challenge for such companies is to decide...