AI News, Deploying models

AI Hub: The One Place for Everything AI (Cloud Next '19)

AI Hub is the brand-new place for everything AI within your company, as well as in general. This is an introduction into the various components we provide so ...

How to deploy machine learning models into production

Data scientists spend a lot of time on data cleaning and munging, so that they can finally start with the fun part of their job: building models. After you have ...

AI Hub: The One Place for Everything AI (Next ‘19 Rewind)

AI Hub is the brand-new place for everything AI within your company, as well as in general. This is an introduction into the various components we provide so ...

ML Engine - Machine Learning in the Cloud

Learn how to build and deploy a machine learning model to Cloud ML Engine, then make it available to the world via Firebase Cloud Functions.

Understanding image models and predictions using an Activation Atlas (AI Adventures)

In this episode of AI Adventures, Yufeng takes the idea of feature activations in convolutional neural networks even further, by applying them to entire images to ...

Inside Cloud Computing and Infusing Artificial Intelligence (AI) into Applications | Great Learning

CloudComputingTutorial | Learn More: Understand the interplay of Cloud and Artificial Intelligence (AI), how to leverage the power ..

Training Keras with GPUs & Serving Predictions with Cloud ML Engine (Google Cloud AI Huddle)

In this Google Cloud AI Huddle, Google Developer Advocate Yufeng Guo shows you how to use keras on Kaggle to train up a model. This video gives an ...

PyTorch on GCP (AI Adventures)

In this episode of AI Adventures, Yufeng introduces all the ways you can run PyTorch on GCP, from Colab and Kaggle, to Deep Learning VMs. PyTorch ...

Intro to machine learning on Google Cloud Platform (Google I/O '18)

There are revolutionary changes happening in hardware and software that are democratizing machine learning (ML). Whether you're new to ML or already an ...

Cloud OnAir: End-to-End Machine Learning With TensorFlow on Google Cloud Platform

Operationalizing models can be challenging. This webinar walks through a development workflow that will make operationalization easier to execute, including ...