Build A Handwriting Recognizer In Python
I presented this webinar in 2018 for the students in my machine learning bootcamp.
In the webinar you’ll see me develop a handwriting recognition app in Python that automatically transcribes the handwritten digits of the MNIST dataset to digitized text. I will be using the Tensorflow library.
1 ¼ Hours
English
Intermediate
Webinar Contents
Introducing Machine Learning
Current trends in AI
Jobs replaced by robots
Machine learning algorithms
The convolutional neural network
Introducing Tensorflow
The Tensorflow library
Using Python in Visual Studio
Dense Neural networks
The neural network we’re going to use
The MNIST Dataset
A dataset of handwritten digits
The image format
Reading the dataset with Python
The Code
Numpy, Pandas and Tensorflow
Reading and processing the dataset
Shaping the tensors
The training function
Calculating training & validation loss
The Results
Demo: training the neural network
The trainng & validation loss graphs
The confusion matrix
Testing the fully trained model
The Testing App
The WinForms app
Sampling a handwritten digit
Calling Python to get a prediction
Demo: testing the app
Watch The Webinar
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Download The Source Code
Would you like to experiment with your own code? Just click the button to download the exact same source code that I use in the webinar. Use my code as a starting point to develop your own C# computer vision applications!
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