Category 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…

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…

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…

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…

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…

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…

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,…

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…

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…