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MACHIN LEARNING

Learn Machine Learning, Convolutional Neural Networks

Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

High-quality custom machine learning models

Cloud AutoML Beta is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs by leveraging Google’s state-of-the-art transfer learning and neural architecture search technology.

Hardware designed for performance

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. Cloud 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.

Easy to build and even easier to scale

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 Cloud Storage, Cloud Dataflow, and Cloud Datalab so you can easily train your models.

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