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Machine Learning: Predict Numbers from Handwritten Digits using a Neural Network, Keras, and R

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In this 1-hour long project-based course, you will learn how to build a Neural Network Model using Keras and the MNIST Data Set. By the end of the course you will have built a model that will recognize the digits of hand written numbers. You will also be exposed to One Hot Encoding, Neural Network Architecture, Loss Optimizers and Testing of the Model's performance. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Dive into the world of Data Science & AI with this engaging 1-hour project-based course focused on building a Neural Network Model using Keras and the MNIST Data Set. Led by Coursera, this intermediate-level class offers hands-on experience in predicting numbers from handwritten digits. Perfect for those looking to enhance their skills in machine learning, this free course is designed for learners eager to explore neural networks and practical AI applications.