Build an Americal Sign Language, i.e., ASL Recognition system capable of classifying vowels using Deep Learning with AlexNet in MATLAB. Read the blog at https://mlhp.link/BlogASLRecognition/
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American Sign Language (#ASL) is one of the most predominantly used sign languages in the world. We are building an ASL Recognition system. The data obtained using Kaggle consisted of a collection of image files for each alphabet. To manage these files, we will be using a relatively new function known as imageDatastore(). We will specify its properties and then import and process the data using object functions. We will move on to loading a pre-trained convolution #neural network in MATLAB, #AlexNet, and fine-tuning the net to meet our specification of classifying the vowel images.
00:00 Introduction to ASL, imageDatastore and Alexnet
01:40 Downloading data from Kaggle.com
02:18 Loading the data and resizing
03:50 Training the AlexNet
05:15 Testing the saved AlexNet
05:45 Conclusion
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