5 Actionable Tips for Exploring AI with Google's AI Hub Written by Daisie Team Published on 27 July 2023 6 min read ContentsNavigate Google AI HubFind and use AI modelsShare AI resourcesUse AI Hub with Google CloudTroubleshoot common issuesArtificial Intelligence (AI) continues to shape our digital world, opening up new opportunities for innovation and problem-solving. One of the front runners in this race is Google and, more specifically, their AI Hub. If you've ever found yourself looking to dip your toes into the ocean of AI, this blog post has got you covered. Here are five easy-to-follow, actionable tips to start exploring AI with Google's AI Hub, making your journey into the world of AI a breeze.Navigate Google AI HubBefore you start exploring AI with Google's AI Hub, getting yourself familiarized with the platform is the first step. Google AI Hub provides a centralized, online space for sharing, distributing, and collaborating on machine learning (ML) resources. Here's how you can navigate it with ease:Accessing AI HubGoogle AI Hub is accessible to anyone with a Google account. Just type "Google AI Hub" on your search bar and click on the first result. This will take you to the AI Hub homepage.Exploring AI Hub DashboardSearch Bar: At the top of the page, you'll find a search bar. Here, you can type in specific AI models, datasets, or any other AI resources you're interested in.Resource Categories: On the left side of the page, you'll see a list of resource categories. These include Datasets, Models, Notebooks, and Pipelines. Clicking on these categories will show you related AI resources that you can use.Resource Cards: In the main area of the page, you'll see cards representing individual AI resources. Each card provides brief information about the resource, including its title, type, and a short description.Using FiltersGoogle AI Hub lets you filter resources based on specific criteria. This could be by type, such as datasets or models, or by the level of access, such as public or private resources. Using these filters can make your exploration more focused and efficient.Understanding the layout and features of Google AI Hub is your first step towards exploring AI with Google's AI Hub. Next up, we'll dive into finding and using AI models, which is where the real fun begins!Find and use AI modelsNow that you're familiar with navigating Google's AI Hub, let's take the next step: finding and using AI models. These models are pre-trained and ready to use, so you can start experimenting without needing extensive coding skills or data science experience.Finding AI ModelsFinding AI models is as simple as using the search bar at the top of the AI Hub homepage. Here's how:Type the kind of model you're looking for into the search bar. This could be a category, like "image recognition," or a specific model name.Press Enter to see a list of available models related to your search.Review the models' brief descriptions on their resource cards to choose one that fits your needs.Using AI ModelsOnce you've found a model that you're excited to try, it's time to put it to use. Here's a simple breakdown on how to do that:Accessing the Model: Click on the resource card of the model you want to use. This will take you to a page with more detailed information about the model and options to use it.Deploying the Model: On the model's page, you'll find a button to 'Deploy'. Clicking this will set up the model for you to use in your applications. Remember, some models may require specific Google Cloud services to run.Using the Model: After deploying, you can start using the model in your applications. The details on how to do this will vary depending on the model, but the model's page usually provides helpful instructions and examples.And there you have it! You're now armed with the knowledge to find and use AI models on Google's AI Hub. But don't stop there—sharing your AI resources with others is a great way to contribute to the AI community. Let's learn how.Share AI resourcesExploring AI with Google's AI Hub isn't just about learning and using AI models—it's also about sharing your AI resources with others. By sharing, you're helping to grow the AI community and contribute to the progress of AI technology. So, how do you go about sharing AI resources on Google's AI Hub? Let's dive in.Uploading AI ResourcesTo share your AI resources, you first need to upload them to AI Hub. Here's how:Click on the 'Upload' button on the AI Hub homepage.Select the AI resource file you want to upload from your device.Fill in the necessary information about your resource, such as its name, category, and a brief description.Click 'Upload' to finish the process.Voila! Your AI resource is now on AI Hub and ready to be discovered by others.Sharing AI ResourcesUploading your resource is just the first step. Now, let's make sure it reaches the right people:Set Sharing Permissions: After uploading, you can set who can view and use your resource. You can make it public for everyone to access, or restrict it to specific users or groups.Share the Resource Link: Each resource on AI Hub has a unique link. Share this link with others to direct them straight to your resource.There you go! You've not only explored AI with Google's AI Hub but also contributed to its growth by sharing your resources. But wait, there's more. Ever wondered how to use AI Hub with Google Cloud? Let's find out in the next section.Use AI Hub with Google CloudDid you know Google's AI Hub integrates seamlessly with Google Cloud? Yes, you heard it right! This powerful combo can elevate your AI projects to new heights. Let's see how you can get the most out of exploring AI with Google's AI Hub and Google Cloud.Deploying AI Models on Google CloudGoogle Cloud is a fantastic platform for deploying your AI models. Here's a simple way to do it:Find the AI model you want to deploy on AI Hub.Click on the 'Deploy' button.Select 'Google Cloud' as your deployment platform.Follow the prompts to complete the deployment process.And that's it! Your AI model is now up and running on Google Cloud.Storing AI Resources on Google CloudGoogle Cloud isn't just for deployment—it's also a great place to store your AI resources. Here's how you can store your stuff:Create a Google Cloud Storage bucket: This is where you'll keep your AI resources. Think of it as a virtual storage room.Upload your AI resources: Once your bucket is set up, you can start uploading your AI resources. Easy as pie, right?And there you have it! You've just learned how to explore AI with Google's AI Hub and use it with Google Cloud. But wait, what happens when things don't go as planned? Don't worry, we've got you covered in the next section.Troubleshoot Common IssuesEven the most seasoned AI explorers can encounter bumps along the way when exploring AI with Google's AI Hub. But don't fret! We've got some solutions to common issues that may arise.Issue: Can't Find Your AI ModelsHaving trouble locating your AI models in the AI Hub? Try these steps:Check your filters: Make sure you haven't applied any filters that might be hiding your models.Refresh your page: Sometimes, a simple page refresh can do the trick.Search again: Double-check your search terms. A small typo can make a big difference.Still can't find your models? It might be time to reach out to Google's support team.Issue: AI Model Deployment FailedSo, your AI model didn't deploy as expected on Google Cloud? Here are a few possible fixes:Check your model: Ensure your model is compatible with Google Cloud. Not all models are!Inspect your settings: A wrong setting can cause a deployment to fail. Review your configuration to make sure everything is in order.Try again: Sometimes, the best solution is to simply try deploying your model again.With these troubleshooting tips, you can spend less time fixing problems and more time exploring AI with Google's AI Hub. Happy exploring!If you're excited about exploring AI with Google's AI Hub and want to learn more about how AI can impact the world of art and design, check out Aunia Kahn's workshop, 'The Insane Potential of AI-Generated Art and Design.' 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