Deep Learning

Who said that only humans can create beautiful artwork? In today’s blog, we will see how a neural network application called Neural Style Transfer can create beautiful artworks which even humans can’t think of. So without any due, Let’s do it… Step 1 – Importing Libraries required for Neural Style Transfer. Step 2 – Read […]

So guys in today’s blog we will see that how we can perform Human Segmentation using U-Net. U-Net is a very special CNN architecture that was specially made for segmentation in mainly the medical field. It is called a U-Net because of its special architecture whose shape is like U. So without any further due,

So guys in today’s blog we will implement the Milk Production prediction for the next year with the previous 13-year milk production data. We will use LSTM for this project because of the fact that the data is Sequential. So without any further due, Let’s do it… Step 1 – Importing required libraries. Step 2

So guys in today’s blog we will be building an Emotion Detector model in Keras using Convolutional Neural Networks. This is one of my favorite projects, and that’s why I am very excited to start with it, so without any further due, Let’s do it… Step 1 – Importing required libraries for Emotion Detector. Step

In today’s blog, we will be performing MNIST Handwritten Number Recognition, using Deep Neural Networks. It means that we will be actually coding a deep neural network. It is going to be a very fun project, so without any further due, Let’s do it… Step 0 – Create conda environment Step 1 – Importing required

In today’s blog, we will be using Transfer learning to implement our today’s project which is Monkey Breed Classification. Transfer Learning is simply when we are using an already trained model for our current use case. In this case, we will be using Mobilenet, pre-trained on Imagenet. So without any further due, Let’s do it…

When starting with Machine Learning, MNIST Handwritten number recognition comes as the first project in everyone’s mind because of its simplicity, abundant data, and magical results. It can also be thought of as the ‘Hello World of ML world. So, In today’s blog, we will see how to implement it. You might be thinking, everyone

So, in today’s blog, we will implement the Flappy Bird Game which will be played by an AI. We will achieve this by using NEAT which stands for NeuroEvolution of Augmenting Topologies. One of the major fantasies of every machine learning engineer is to make a game that can learn to play on itself. In

So guys, in today’s blog we will be implementing Age Detection using CNN with the help of Keras. This is going to be a very fun project, So without any further due, Let’s do it… Step 1 – Import all required libraries. Step 2 – Read the input images and extract their labels. How to