Recognizing handwritten numbers is a piece of cake for humans, but it’s a non-trivial task for machines. Currently, however, with the advancement of machine learning, people have made machines more capable of performing this task.

In this second workshop of the Your Path to Deep Learning series, we will use MNIST Dataset to build two Neural Networks capable to perform handwritten digits classification. The first Network is a simple Multi-layer Perceptron (MLP) and the second one is a Convolutional Neural Network (CNN). We will show you the step-by-step guide to create a simple handwritten digit recognizer in Watson Studio with TensorFlow.

Create a project in Watson Studio and use Jupyter Notebook in the project.

Create a simple Multi-layer perceptron (Neural Network), to perform classification tasks.

Create a Deep Learning Neural Network and apply on MNIST.

Developers interested in building deep learning models using Python

Deep learning & machine learning enthusiasts

Developers discovering deep learning algorithms

Developers building use cases around deep learning

You must have some background in programming. Python is preferred.

You must understand the basics of Machine Learning. You can watch this webinar as a refresher: https://www.crowdcast.io/e/path-to-ai1

Log in to your existing account or Sign up for a free account IBM Cloud at https://ibm.biz/YourPathToDeepLearning

New to Deep Learning? Remember to watch the first workshop in this series to understand the basic concepts: https://www.crowdcast.io/e/ypdl-1

Anam Mahmood, Developer Advocate @ IBM
(https://www.linkedin.com/in/anam-mahmood-sheikh/)

Sbusiso Mkhombe, Developer Advocate @ IBM
(https://www.linkedin.com/in/sbusisomkhombe/)

Please note: We will be providing a badge & certificate for this series. At the end of the series, you will be asked to enroll in a course "Deep Learning with TensorFlow" on https://cognitiveclass.ai. Once you complete the quizzes in the modules, you will be provided with a badge and a certificate.

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Your Path to Deep Learning: Identify Handwritten Digits using CNN with TensorFlow