Object Recognition using MATLAB | @MATLABHelper Blog

You can show an object in front of your computer webcam and it will at once recognize what object it is. Sounds interesting? Here in this video, we are sharing a simple deep learning concept and MATLAB code to perform #Object #Recognition. A pre-trained deep #neural #network #AlexNet is used for this purpose which makes it easier for testing. Read and follow the blog at https://mlhp.link/BlogObjectRecognition for codes! #Deep #learning is a type of #machine learning in which a model learns to perform #classification tasks directly from images, text, or sound. #DeepLearning is usually implemented using a #NeuralNetwork architecture. The term "deep" refers to the number of layers in the network—the more layers, the deeper the network. Traditional neural networks contain only 2 or 3 layers, while deep networks can have more than 3. Read more from our blog. 0:00 Introduction 0:33 What is a Deep neural network and Deep Learning? 2:55 MATLAB script for recognition of an object 4:56 Running code and viewing result Want to see more #Blog videos? Watch playlist: https://www.youtube.com/playlist?list=PLmyWlxlLCcz-pX7Mu7L4MF4TmumzWNAmP If you found value in this video, be sure to show your support by giving it a like, leaving a thoughtful comment, and sharing it with others. And don't forget to subscribe to our channel for more helpful content. If you need expert assistance, check out our paid services on our website at https://mlhp.link/services. We offer live sessions and offline work on MATLAB and Simulink projects, including homework, assignments, theses, and research. We also provide existing codes, models, along with report and necessary attachments for selected content at https://matlabhelper.com/shop/learning-portal-resources at a reasonable cost. Take your MATLAB skills to the next level by joining one of our training modules, such as MATLAB Associate, MATLAB Professional, Simulink Fundamental, Image Processing, Arduino Interfacing, App Designer, or Machine Learning. Our classes are taught by Mathworks certified experts. Find more information on our training syllabus and proposal at https://mlhp.link/training. For additional learning opportunities, visit our learning portal at https://mlhp.link/lms to access self-paced online courses, quizzes, contests, webinars, and more. You can also reach out to us via WhatsApp at +91-8104622179 or https://mlhp.link/WhatsApp. Keep up to date with the latest updates and helpful tips by following us on LinkedIn (https://mlhp.link/LinCompany), Facebook (https://mlhp.link/facebook), and Instagram (https://mlhp.link/instagram). Education is our future. MATLAB is our feature. Happy MATLABing! #ExpertHelp #MATLAB #Simulink #Research #Training #Mathworks #MathworksCertified #MATLABAssociate #ImageProcessing #Arduino #AppDesigner #MachineLearning #LMS #OnlineCourse #Quiz #Webinar #WhatsApp #LinkedIn #Facebook #Instagram #Education #Future #MATLABing