Optimizing, profiling and deploying high performance Spark ML and TensorFlow AI models
Optimizing, profiling and deploying high performance Spark ML and TensorFlow AI models
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

Optimizing, profiling and deploying high performance Spark ML and TensorFlow AI models

Optimizing, profiling and deploying high performance Spark ML and TensorFlow AI models

|
Optimizing, Profiling, and Deploying High Performance Spark ML and TensorFlow AI

Optimizing, Profiling, and Deploying High Performance Spark ML and TensorFlow AI

|
Optimizing, Profiling, and Deploying High Performance Spark ML and TensorFlow AI-2

Optimizing, Profiling, and Deploying High Performance Spark ML and TensorFlow AI-2

|
PipelineAI: High Performance Distributed TensorFlow AI + GPU + Model Optimizing Predictions

PipelineAI: High Performance Distributed TensorFlow AI + GPU + Model Optimizing Predictions

|
Tensorflow XLA JIT AOT Compiling Nvidia GPU Half Precision FP16, INT8 TensorRT Spark JSON Parsing

Tensorflow XLA JIT AOT Compiling Nvidia GPU Half Precision FP16, INT8 TensorRT Spark JSON Parsing

|
[1 Hour Workshop] PipelineAI, TPU, GPU, TensorFlow, Kubernetes, Kafka, Jupyter, PyTorch

[1 Hour Workshop] PipelineAI, TPU, GPU, TensorFlow, Kubernetes, Kafka, Jupyter, PyTorch

|
High Performance Distributed Spark ML + TensorFlow AI + GPUs - NYC - July 08, 2017

High Performance Distributed Spark ML + TensorFlow AI + GPUs - NYC - July 08, 2017

|
High Performance TensorFlow in Production with Kubernetes + GPUs @ Seattle Kubernetes Meetup

High Performance TensorFlow in Production with Kubernetes + GPUs @ Seattle Kubernetes Meetup

|
Chris Fregly - High-Performance Distributed Tensorflow

Chris Fregly - High-Performance Distributed Tensorflow

|
Kubernetes, Tensorflow, Performance Tuning, Airflow - Advanced Spark TensorFlow Meetup SF 01-19-2017

Kubernetes, Tensorflow, Performance Tuning, Airflow - Advanced Spark TensorFlow Meetup SF 01-19-2017

|
Profiling your machine learning model with Tensorflow and Tensorboard (Amine Kerkeni)

Profiling your machine learning model with Tensorflow and Tensorboard (Amine Kerkeni)

|
Continuous Deployment - Spark ML and Tensorflow AI - ODSC Workshop - San Francisco - Mar 2017

Continuous Deployment - Spark ML and Tensorflow AI - ODSC Workshop - San Francisco - Mar 2017

|
Boston Spark Meetup - May 2018 - Continuous Train + Deploy ML/AI Models (PipelineAI)

Boston Spark Meetup - May 2018 - Continuous Train + Deploy ML/AI Models (PipelineAI)

|
TF Data and Deployment - Device-based Models with TensorFlow Lite Part 1/2

TF Data and Deployment - Device-based Models with TensorFlow Lite Part 1/2

|
MIC 2018 - Tensorflow optimizations and performance tuning for Intel platforms

MIC 2018 - Tensorflow optimizations and performance tuning for Intel platforms

|
High-Performance Distributed Tensorflow Training and Serving - PyData London May 6, 2017

High-Performance Distributed Tensorflow Training and Serving - PyData London May 6, 2017

|
Tensorflow Improving Model Performance - Feature Engineering - DIY#11

Tensorflow Improving Model Performance - Feature Engineering - DIY#11

|
Deploy Serverless TensorFlow Models using Kubernetes, OpenFaaS, GPUs and PipelineAI

Deploy Serverless TensorFlow Models using Kubernetes, OpenFaaS, GPUs and PipelineAI

|
Julien Simon "Scaling ML from 0 to millions of users"

Julien Simon "Scaling ML from 0 to millions of users"

|
ROCm and Distributed Deep Learning on Spark and TensorFlowJim Dowling Logical Clocks AB,Ajit Mathews

ROCm and Distributed Deep Learning on Spark and TensorFlowJim Dowling Logical Clocks AB,Ajit Mathews

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa

Favorilere Ekle