Develop Machine Learning Models - Predicting the numbers using OCR and PyTorch (Sample Video)
This video will take you through the different steps covering the lifecycle of the development of a machine learning model for Predicting the numbers using OCR and Pytorch.
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About the instructor: Mr. Sharma (Ranti) is the one who conducted this live session. He is a seasoned ML Engineer and also an alumnus of IIT, Microsoft as well as Apple.
Timestamps for the video:
0:00:00 — Introduction about Predicting the numbers using OCR and PyTorch.
0:01:51 — How to train a model to understand PyTorch’s basic building blocks?
0:04:19 — First step before training the model is to import the data.
0:14:11 — Exploring and understanding Data Set.
0:21:56 — Using deep learning framework pipeline, Build the first convolutional layer model.
0:32:19 — TEST THE MODEL with the first batch to ensure that the output dimensions
0:33:36 — TRAINING THE MODEL Setting up loss function, an optimizer and a function to compute the accuracy of a model.
Content used for this lecture is available as notebook here - https://github.com/itversity/masterin...
Playlist: • Building Machine Learning Models usin...
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