This advanced-level Artificial Intelligence learning path provides instruction on how to build a deep neural network for recognizing characters/digits in an image.
This course covers the key mathematical concepts required to understand and build machine learning models.
After covering the basic mathematics, next step is to understand basic statistical concepts that are required to train a machine learning model and interpret the accuracy of the results.
This course covers the theoretical underpinning of machine learning concepts and explains the key machine learning algorithms.
This course covers the implementation of machine learning algorithms using data structures available in Python.
For OCR we start with loading an existing dataset of digits. This tutorial shows how to load a digits dataset - MNIST into your Program.
This tutorial shows how to implement a simple and fast classification algorithm (Logistic Regression) to identify and classify different digits in the database
We want to improve the accuracy of the prediction. Hence this tutorial shows the implementation of multi-layer perceptron to classify digits.
In this tutorial, we implement a Convolution Neural Network for classifying digits in the MNIST database
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