Google Cloud's AI provides modern machine learning services, with pre-trained models and a service to generate your own tailored models. Our neural net-based ML service has better training performance and increased accuracy compared to other large scale deep learning systems. Our services are fast, scalable and easy to use. Major Google applications use Cloud machine learning, including Photos (image search), the Google app (voice search), Translate, and Inbox (Smart Reply). Our platform is now available as a cloud service to bring unmatched scale and speed to your business applications.
Cloud AutoML is a suite of Machine Learning products that enables developers with limited machine learning expertise to train high quality models by leveraging Google’s state of the art transfer learning, and Neural Architecture Search technology.
AutoML Vision is the first product to be released. It is a simple, secure and flexible ML service that lets you train custom vision models for your own use cases. Soon, Cloud AutoML will release other services for all other major fields of AI. To express interest and help shape the future of Cloud AutoML products, you can share your ideas with us.
Google Cloud TPUs are a family of hardware accelerators that Google designed and optimized specifically to speed up and scale up ML workloads for training and inference programmed with TensorFlow. TPUs are designed to deliver the best performance per dollar for targeted TensorFlow workloads, and to enable ML engineers and researchers to iterate more quickly.
Google Cloud Machine Learning Engine makes it easy for you to build sophisticated, large scale machine learning models that cover a broad set of scenarios from building sophisticated regression models to image classification. It is portable, fully managed, and integrated with other Google Cloud Data platform products such as Google Cloud Storage, Google Cloud Dataflow and Google Cloud Datalab so you can easily train your models.
Google Cloud Job Discovery provides highly intuitive job search that anticipates what job seekers are looking for and surfaces targeted recommendations that help them discover new opportunities. In order to provide the most relevant search results and recommendations, the API uses machine learning to understand how job titles and skills relate to one another, and what job content, location and seniority are the closest match for a jobseeker’s preferences.
Dialogflow Enterprise Edition is an end-to-end development suite for building conversational interfaces for websites, mobile applications, popular messaging platforms, and IoT devices. You can use it to build interfaces (e.g., chatbots) that are capable of natural and rich interactions between your users and your business. It is powered by machine learning to recognize the intent and context of what a user says, allowing your conversational interface to provide highly efficient and accurate responses.
Google Cloud Video Intelligence API makes videos searchable and discoverable by extracting metadata, identifying key nouns, and annotating the content of the video. By calling an easy-to-use REST API, you can now search every moment of every video file in your catalog and find each occurrence of key nouns as well as its significance. Separate signal from noise, by retrieving relevant information by video, shot, or frame.
Google Cloud Vision API enables you to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g. "sailboat", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images.
Google Cloud Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy to use API. The API recognizes 120 languages and variants, to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or pre-recorded audio, using Google’s machine learning technology.
Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 32 voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s powerful neural networks to deliver the highest fidelity possible. As an easy-to-use API, you can create lifelike interactions with your users, across many applications and devices.
Google Natural Language API reveals the structure and meaning of text by offering powerful machine learning models in an easy to use REST API. You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can also use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app.
Google Cloud Translation API provides a simple programmatic interface for translating an arbitrary string into any supported language. Translation API is highly responsive, so websites and applications can integrate with Translation API for fast, dynamic translation of source text from the source language to a target language (e.g. French to English).
Get started with using Machine Learning on GCP
Google Cloud Vision API entered Beta and is open to all to try!
Work side-by-side with Google’s machine learning experts in Google’s Advanced Solutions Lab (ASL).
This solution presents an example of using machine learning with financial time series on Google Cloud Platform.
TensorFlow is an Open Source Software Library for Machine Intelligence.
Google Cloud Platform is up to 40% less expensive than other public cloud providers.
Google takes Cloud Machine Learning service mainstream.