Create a Handwriting Recognition AI with TensorFlow [2017]

In this course we’ll use the Machine Intelligence library TensorFlow to build an application that can detect handwritten numbers. The approach we’ll take is to train a neural network with thousands of photos of handwritten numbers, so that it can learn the right patterns and be able to recognize numbers on its own. As we train our neural network, we’ll reach a recognition accuracy of over 90%.

We’ll cover neural networks from scratch, starting with modeling a single neuron using the Perceptron model, which is similar to real neuron cells in the brain. We’ll move on from that to cover systems of multiple neurons and cover the Gradient Descent and Backpropagation techniques to train our networks.

To implement our handwriting recognition neural network we’ll be using the popular TensorFlow framework created by Google. We’ll visualize the training using TensorBoard.

WHO CAN TAKE THESE COURSES?

We start with the absolute basics and go through everything step-by-step – so even if you have zero experience in programming, you’ll be able to easily follow along.

More experienced? Whether you’re wanting to brush up, expand your skills, or learn a new technology, our courses are structured in a way that makes it easy to skip ahead to the lessons that are relevant and interesting to you.

REINFORCE YOUR LEARNING

Zenva’s courses feature quick challenges that will speed up your learning.

Access live coding lessons where you can practice coding right in your browser, and instantly see the results of any changes you make to the code:

Reinforce key concepts with in-course quizzes, which appear throughout courses:

COURSES BY THE WORLD’S BEST

Our course instructors aren’t just fun to learn from – they’re also serious gamers, qualified coders, and have been formally certified by Unity Technologies and CompTIA for their excellent programming and teaching skills. That way, you can be confident that you’re developing strong, modern skills that will set you up for success as a game developer.

YOUR COURSES, YOUR WAY

Learn with project-based courses that are designed to be flexible – access them 24/7, fit them around your schedule, and choose the learning materials that suit you best.

With an online platform optimized for all modern devices, you can even learn on the go!

✅ Watch video lessons

✅ Download course printouts

✅ Explore interactive lessons

✅ Practice with source code

✅ Build real projects

✅ Earn completion certificates

ACHIEVE REAL RESULTS

Our community of 1,000,000+ learners and developers have used the skills learned with us to publish their own games and websites, land their dream jobs, and even start their own businesses – and you have the potential to do the same!

Check out what our learners think below:

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MIHIR PATEL

I love the lectures, concise course objectives, and how they not only teach you enough to get started, but prepare you for the advanced stuff later down the road.

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MONICA MANCUSI

With Zenva, I started learning a more accurate way to approach problems and develop solutions. It’s full of interesting topics that I love to learn in conjunction with my work.

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CRAIG BICKFORD

I chose Zenva because of the large selection of topics and the fact that I can choose what courses I want to take whenever I want to take them. That level of freedom is unique to Zenva.

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ANDREA CARDENAS-ROEDER

The Unity courses at Zenva helped me achieve a level of comfort with game development that I didn’t think was possible. They give you the confidence to expand your skills, and were so easy to understand.

Familiarity with Python and image recognition with machine learning

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