"Whenever you can, share. You never know who all will be able to see far away standing upon your shoulders!"
I write mainly on topics related to science and technology.
Sometimes, I create tools and animation.
The MNIST database of handwritten digits, has a training set of 60,000 examples, and a test set of 10,000 examples.
This is considered to be the Hello World of machine learning programming. That is, any learner's first machine learning model is ought to be the one that can tell the numeral digits by looking at their shape.
Here, I've used a pre-trained model to predict digits from 0 to 9 that you may draw on the canvas below.
There are a few things to take note of.
Draw a single digit (0-9) in the box to the left, then click Predict.
A machine learning model trained against the MNIST character dataset will classify the image. Scores for each classification label are plotted below.
tensorflow_model_server, copy your model into the docker image, and get a REST API that will give predicted results!
This is an ongoing effort which means more chapters are being added and the current content is being enhanced wherever needed.
For attribution or use in other works, please cite this book as: Manisar, "Neural Networks - What's Happening? An Intuitive Introduction to Machine Learning", SKKN Press, 2020.