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Interested in image processing. Then this course is for you. This is currently the most comprehensive course in the market about convolutional neural networks.
The course will guide you from zero to hero on a convolutional neural network which is mostly not covered in any other courses. This course is built in a very practical way as there are lots of projects for you to practice along the way. So you will have lots of projects in your portfolio to show to your potential employers or clientsThe course is split into 4 major parts:Convolutional Neural Network fundamentalCIFAR-10 projectClothing image projectAdvanced implementation of CNNPART 1: Convolutional Neural network fundamentalIn this section, you will learn about the fundamental of the convolutional neural network.
This is the first section so there will not be any advanced concept about CNN. This is just an introduction to what a convolutional neural network looks like, and what libraries we will be using. We will also implement a simple CNN model so you will learn how to build it with a detailed explanation step-by-stepPART 2: CIFAR-10 projectIn this section, you will apply what will we have learned so far in the course to build a model for big dataset images.
A convolution neural network is mostly used for image processing. This project will help us to reinforce what we have learned so far in the course. Furthermore, it will help us to combine the knowledge together to build a model for the big dataset.
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