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anitagraser.com
| | aimatters.wordpress.com
8.1 parsecs away

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| | A few weeks ago, it was announced that Keras would be getting official Google support and would become part of the TensorFlow machine learning library. Keras is a collectionof high-level APIs in Python for creating and training neural networks, using either Theano or TensorFlow as the underlying engine. Given my previous posts on implementing an...
| | blog.research.google
8.8 parsecs away

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| | [AI summary] Google Research introduces MetNet-2, a deep learning model that enhances 12-hour precipitation forecasting with improved accuracy and efficiency compared to traditional physics-based methods.
| | www.eliza-ng.me
5.5 parsecs away

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| | Introduction: Time series forecasting has long been a subject of interest for businesses and researchers alike. With the rise of deep learning models in various domains, it is natural to explore their potential in time series forecasting. However, recent discussions and experiences from professionals in the field have cast doubt on the efficacy of these specialized "time series" deep learning models. In this article, we delve into the criticisms raised by experts and shed light on the current state of time series forecasting.
| | ischoolonline.berkeley.edu
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| Whether you know it or not, you've probably been taking advantage of the benefits of machine learning for years. Most of us would find it hard to go a full day without using at least one app or web service driven by machine learning. But what is machine learning?