filmov
tv
Optimizing TensorFlow Models for Serving (Google Cloud AI Huddle)
Показать описание
In this episode of Google Cloud AI Huddle, Google Cloud Solutions Architect, Lukman Ramsey, discusses technical infrastructure on how to efficiently serve TensorFlow models on Google Cloud by sharing TF model formats, optimization tools, examples and more!
Read more on optimizing TF models for serving →
Google AI Huddle is an open, collaborative and developer-first AI forum driven by Google AI expertise. It’s a monthly in-person engagement where Googlers engage with developers to speak on ML topics, deliver workshops / tutorials, and hands-on labs. AI Huddle is open to all GCP customers, startups and developers interested in learning about Google AI. The Huddle provides:
• Direct avenue to speak with Google experts on real problems they face in their ML and AI projects
• Opportunity to hear about the latest developments from experts and peers in the industry and community
• Engaging technical content and discussions to help address real development problems in ML.
product: Cloud Machine Learning Engine; fullname: Lukman Ramsey
Read more on optimizing TF models for serving →
Google AI Huddle is an open, collaborative and developer-first AI forum driven by Google AI expertise. It’s a monthly in-person engagement where Googlers engage with developers to speak on ML topics, deliver workshops / tutorials, and hands-on labs. AI Huddle is open to all GCP customers, startups and developers interested in learning about Google AI. The Huddle provides:
• Direct avenue to speak with Google experts on real problems they face in their ML and AI projects
• Opportunity to hear about the latest developments from experts and peers in the industry and community
• Engaging technical content and discussions to help address real development problems in ML.
product: Cloud Machine Learning Engine; fullname: Lukman Ramsey
0:58:45
Optimizing TensorFlow Models for Serving (Google Cloud AI Huddle)
0:08:49
TensorFlow Serving performance optimization
0:06:34
Deploying production ML models with TensorFlow Serving overview
0:13:30
Optimize your TensorFlow Lite models | Session
0:05:38
Optimizing tensorflow models for serving google cloud ai huddle
0:19:52
tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)
0:07:27
Advanced features on TensorFlow Serving
0:07:15
How to customize TensorFlow Serving
0:42:35
Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)
0:07:10
Model Deployment on Production || Tensorflow Serving Tutorial
0:21:04
How to make TensorFlow models run faster on GPUs
0:05:51
TensorFlow Serving client examples
0:35:54
Chris Fregly - High-Performance Distributed Tensorflow
0:15:34
Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)
0:02:38
Tensorflow serving! One tool that can change everything!
0:15:07
TensorFlow Extended (TFX) Post-training Workflow (TF Dev Summit '19)
0:28:55
Apache Spark and Tensorflow as a Service - Jim Dowling
0:33:49
From Research to Production with TensorFlow Serving (Google I/O '17)
0:45:26
Seq2seq Model on Time-series Data: Training and Serving with TensorFlow - Masood Krohy
0:01:23
Optimize TensorFlow Models For Deployment with TensorRT ,All Quiz Answers.#coursera #excel #answers
0:07:59
Optimization with Tensorflow
0:19:20
Serving Models in Production with TensorFlow Serving (TensorFlow Dev Summit 2017)
0:24:41
Quantizing Neural Networks Using TensorFlow's Model Optimization Toolkit
0:17:40
Optimizing (TensorFlow) models on #Kubernetes with #Kubeflow #Katib #Elyra #JupyterLab and #CLAIMED
Комментарии