December 2, 2019

35 words 1 min read

TensorFlow

TensorFlow

TensorFlowSherry MooreAutoMLTensorFlow
Talk Title TensorFlow
Speakers Sherry Moore (Google)
Conference Artificial Intelligence Conference
Conf Tag Put AI to Work
Location Beijing, China
Date April 11-13, 2018
URL Talk Page
Slides Talk Slides
Video

人工智能已经不是未来的科技，它正快速地成为我们日常生活的一部分。在本演讲中，谷歌TensorFlow的领导者Sherry Moore将会介绍机器学习是如何造福世界的，特别是对于科学的发展。她将会讨论她自己的关于学习如何学习（AutoML）的工作以及几个在中国和全世界使用TensorFlow和机器学习的迷人案例。

automl tensorflow
comments powered by Disqus

December 2, 2019

CTXGB
TensorFlowAn efficient and interactive deep learning platform with TensorFlow

TensorFlowAn efficient and interactive deep learning platform with TensorFlow

December 2, 2019

GPUGPUGPU talkKubernetesDockerTensorFlowwebserving
Building a Go AI with Kubernetes and TensorFlow

Building a Go AI with Kubernetes and TensorFlow

November 29, 2019

Reinforcement learning approaches can be massively parallelized, so Kubernetes seems like a natural fit, as Kubernetes is all about reducing the overhead for managing applications. However, it can be …
Data science in the cloud

Data science in the cloud

November 27, 2019

In this talk Alex will discuss lessons learned from AWS SageMaker, an integrated framework for handling all stages of analysis. AWS uses open source components such as Jupyter, Docker containers, Python and well established deep learning frameworks such as Apache MxNet and TensorFlow for an easy to learn workflow.
Deep learning for domain-specific entity extraction from unstructured text

Deep learning for domain-specific entity extraction from unstructured text

November 27, 2019

Mohamed AbdelHady and Zoran Dzunic demonstrate how to build a domain-specific entity extraction system from unstructured text using deep learning. In the model, domain-specific word embedding vectors are trained on a Spark cluster using millions of PubMed abstracts and then used as features to train a LSTM recurrent neural network for entity extraction.
Deep learning-based search and recommendation systems using TensorFlow

Deep learning-based search and recommendation systems using TensorFlow

November 27, 2019

Abhishek Kumar and Vijay Srinivas Agneeswaran offer an introduction to deep learning-based recommendation and learning-to-rank systems using TensorFlow. You'll learn how to build a recommender system based on intent prediction using deep learning that is based on a real-world implementation for an ecommerce client.