Convolutional Neural Network in Matlab
123.3 هزار بار بازدید -
6 سال پیش
-
In this lesson we will
In this lesson we will learn about Convolutional Neural Network (CNN), in short ConvNet. This lesson includes both theoretical explanation and practical implementation. Most of the convolution neural network tutorials are focused in theoretical explanation. But what learners look for is how to implement the convolution neural network (CNN). In this tutorial not only the theoretical concepts have been explained but also a convolutional neural network has been implemented in Matlab. So if you want to learn how to train your own Convolutional Neural Network in Matlab, this is the best tutorial for you.
Theoretical Concept (0-12 min) - Convolutional Neural Network in Matlab
Practical Code Implementation in Matlab (12 - 26 min) Convolutional Neural Network in Matlab
In order to meet the demand of the enthusiastic learners who want to learn to concept and ConvNet and also want to train their own CNN I have prepared this lesson. You can call it a theoretical short course on Convolution Neural Network that explains the concept and introduces different important aspects of CNN. At the same time you can call it a tutorial of how to implement a convolution neural network in Matlab.
In this lesson a convolution neural network has been trained using MNIST data set to recognize hand-written digits. MNIST is a dataset where there are 70,000 images of handwritten digits. Using this dataset in this tutorial a CNN has been trained that can recognize hand-written digits with 94% accuracy.
The related terms like convolution layer, pooling layer, mean pooling, max pooling, feature maps, activation functions and so on have been explained in the easiest possible way. The best thing is this tutorial on ConvNet meets the demand of all levels of learners. Those who wants to learn the theoretical aspects of CNN only, they will find this tutorial as the best tutorial on Convolutional Neural Network. Those who want the code to implement a Convolutional Neural Network, this tutorial will serve them exactly the way they want. And there is another group of learners who are totally new in this field. They want a complete and easy to learn course on Convolutional Neural Network that explains both theatrical perspective and practical implementation. This Convolutional Neural Network in Matlab lesson will help this type of learners the most.
Implementing convolutional neural network in Matlab is not a straightforward process. There are multiple steps and you need to code multiple functions to train a ConvNet in Matlab. And visualizing the result of the convolutional neural network in Matlab after training is also a challenging task. In this tutorial of how to train a convolutional neural network in Matlab this challenging task has been made a piece of cake. In the first section of this tutorial, the concept of Convolutional Neural Network has been explained. In the second part of this tutorial a practical example of implementing ConvNet in Matlab has been demonstrated. I hope this tutorial will help you understanding the concept of convolutional neural network and will also help you building your own convolutional neural network in Matlab.
Theoretical Concept (0-12 min) - Convolutional Neural Network in Matlab
Practical Code Implementation in Matlab (12 - 26 min) Convolutional Neural Network in Matlab
In order to meet the demand of the enthusiastic learners who want to learn to concept and ConvNet and also want to train their own CNN I have prepared this lesson. You can call it a theoretical short course on Convolution Neural Network that explains the concept and introduces different important aspects of CNN. At the same time you can call it a tutorial of how to implement a convolution neural network in Matlab.
In this lesson a convolution neural network has been trained using MNIST data set to recognize hand-written digits. MNIST is a dataset where there are 70,000 images of handwritten digits. Using this dataset in this tutorial a CNN has been trained that can recognize hand-written digits with 94% accuracy.
The related terms like convolution layer, pooling layer, mean pooling, max pooling, feature maps, activation functions and so on have been explained in the easiest possible way. The best thing is this tutorial on ConvNet meets the demand of all levels of learners. Those who wants to learn the theoretical aspects of CNN only, they will find this tutorial as the best tutorial on Convolutional Neural Network. Those who want the code to implement a Convolutional Neural Network, this tutorial will serve them exactly the way they want. And there is another group of learners who are totally new in this field. They want a complete and easy to learn course on Convolutional Neural Network that explains both theatrical perspective and practical implementation. This Convolutional Neural Network in Matlab lesson will help this type of learners the most.
Implementing convolutional neural network in Matlab is not a straightforward process. There are multiple steps and you need to code multiple functions to train a ConvNet in Matlab. And visualizing the result of the convolutional neural network in Matlab after training is also a challenging task. In this tutorial of how to train a convolutional neural network in Matlab this challenging task has been made a piece of cake. In the first section of this tutorial, the concept of Convolutional Neural Network has been explained. In the second part of this tutorial a practical example of implementing ConvNet in Matlab has been demonstrated. I hope this tutorial will help you understanding the concept of convolutional neural network and will also help you building your own convolutional neural network in Matlab.
6 سال پیش
در تاریخ 1397/06/26 منتشر شده
است.
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