Explore the fundamentals of deep learning and its practical implementation using MATLAB in this comprehensive 3.5-hour course. Gain a solid understanding of machine learning concepts, neural networks, and their real-world applications. Learn to implement the batch method, discover the limitations of single-layer neural networks, and delve into multilayer neural networks. Master the intricacies of convolutional neural networks (CNNs) and their application in image classification using MATLAB's powerful tools and functions. Through hands-on exercises and real-world examples, develop the skills to create and train deep learning models for various applications.
Overview
Syllabus
Deep Learning Lesson 1: What is Machine Learning?.
Neural Network using Matlab.
Implementation of Batch Method.
Real-world Example of Neural Network.
Limitation of Single Layer Neural Network.
Introduction to Multilayer Neural Network.
Deep Learning using Matlab.
Convolutional Neural Network in Matlab.
Convolutional Neural Network (CNN) Image Classification in Matlab.
Taught by
Nuruzzaman Faruqui
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Reviews
5.0 rating, based on 1 Class Central review
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MOSES MOLATLHEGIIt is a rich course that is practically based and would recommend it to anyone looking to kickstart their deep learning career. It would have been better if all the codes had downloadable files as well. Otherwise all good
