An Introduction to AI in Your Code with TensorFlow on Google Cloud Platform


An Introduction to AI in Your Code with TensorFlow on Google Cloud Platform: A blog describing the basics of AI.

Google’s Coding Competitions (Code Jam, Hash Code, and Kick Start) entice brilliant coders from all over the world to solve challenging computer science problems. To celebrate the programming competition season, we’ve compiled a list of some of our favorite coding competition resources. You’ll be ready to tackle any coding challenge that comes your way!

New to AI? Not sure where to start? Start here. Learn the basics of AI.

AI is so commonplace now that we barely think about it. It’s powering the world around us, and it’s time to learn how you can use it in your code.

In this blog post, we will go over the basics of AI, when you should use it, and how you can get started using TensorFlow on Google Cloud Platform (GCP). We’ll also talk a bit about how to scale your code as demand grows.

What is AI?

Artificial Intelligence is intelligence demonstrated by machines, in contrast with the natural intelligence displayed by humans. In the simplest terms, if a machine can learn like a human can learn, then it has some sort of artificial intelligence.

Each year, Google hosts a global coding competition for university students called Code Jam. Over the years, we’ve created a lot of new tools and resources to help Code Jam competitors learn and practice their programming skills. Last year we introduced the AI Challenge, our first ever contest focused on artificial intelligence.

AI is an important technology that will touch almost every industry, and we’re excited by its potential to transform the world. With AI tools like TensorFlow, we hope to make it easier for even more developers to incorporate machine learning into their own applications. The AI Challenge was our first opportunity to test this approach with a public audience, and we were thrilled by the results. We saw contestants build everything from medical diagnostic apps and web page classification systems to intelligent games, bots and other interesting experiments.

The AI Challenge was open to any computer science student over 18 who could answer a few basic questions about machine learning and TensorFlow (the open source library for machine learning that Google released last year). We received submissions from more than 12,000 people in 128 countries—and all but one of them had previously used TensorFlow only once or not at all.

We have an exciting new contest for you! Enter to win a Google Home, plus a Google Home Mini to share with a friend.

We are looking for the best open source TensorFlow models on GitHub. You can submit any TensorFlow model you think is cool, like an image classifier, object detection model, or anything else that’s awesome and makes use of TensorFlow.

Entry is simple. Upload your GitHub link of your TensorFlow model to our form. Then, the top entries will be showcased at the Cloud Summit in Sydney on December 5th, where we’ll select the winner and runners-up live! And don’t worry if you’re not attending Cloud Summit; we’ll announce the winners here on this blog post as well.

Google is hosting a coding competition that aims to teach students how to code with artificial intelligence (AI). The contest, which is designed for students ages 13 to 18, offers $30,000 in prizes.

The contest requires no prior machine learning experience and provides educational resources for participants to learn the basics of AI. “We want everyone to be able to get hands-on experience with TensorFlow,” said Sundar Pichai, CEO of Google, in a blog post. “It’s an easy-to-use open source machine learning library that can power your applications.”

TensorFlow is Google’s open source software library for numerical computation using data flow graphs. It has been used by researchers at Google for applications such as speech recognition and computer vision, as well as by other companies in a variety of domains ranging from finance to healthcare.

In order to participate in the competition, contestants must register for a Kaggle account and then submit their entry on the Kaggle website. Entries should include the algorithm and code used to create the AI model in TensorFlow.

Google is looking for the next generation of AI talent. Do you have what it takes to be an Artificial Intelligence Wizard?

The Wizard Cup is Google’s annual global coding competition around Machine Learning and Artificial Intelligence. This year, we’re asking students to build a model that can predict how popular an app will be on the Google Play Store. The challenge launched on November 3rd, and we’re inviting students from around the world to get started.

Why should you participate?

Build a project in the fast-growing field of Machine Learning and Artificial Intelligence

Learn from Googlers who are leading experts in the field

A chance to win prizes – top performers will receive exclusive Google swag!

The Top 10 teams will win a trip to Google HQ in Mountain View, CA for the Global Finals during our exclusive Machine Learning and AI Summit for Students, where finalists will meet with Googlers and other AI thought leaders.

Google’s AIY Voice Kit is a nifty little kit that lets you build a Google Assistant powered smart speaker on the cheap. It comes with a Voice HAT (Hardware Attached on Top) add-on board, microphone and speaker add-ons and some basic components to get you started.


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