33:19
Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
Tensorflow tf.Data api allows you to build a data input pipeline. Using this you can handle large dataset for your deep learning ...
53:52
Inside TensorFlow: tf.data - TF Input Pipeline
Take an inside look into the TensorFlow team's own internal training sessions--technical deep dives into TensorFlow by the very ...
26:16
Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)
It is important to make optimal use of your hardware resources (CPU and GPU) while training a deep learning model. You can use ...
15:10
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
Derek Murray discusses tf.data, the recommended API for building input pipelines in TensorFlow. In this talk, he introduces the ...
15:02
tf.data: TensorFlow Input Pipeline
Data Orchestration Summit 2019 organized by Alluxio www.alluxio.io/data-orchestration-summit-2019 November 7, 2019 ...
6:35
Using the tf.data API to build input pipelines (TensorFlow Meets)
In this episode of TensorFlow Meets, Laurence Moroney sits down with Derek Murray to discuss the latest on tf.data. Together ...
28:43
How to Create Efficient Training Pipelines with TensorFlow data.Dataset (Tensorflow Datasets)
Don't forget to subscribe if you enjoyed the video :D.
12:31
Input Data Pipelines - TensorFlow Essentials #4
Learn how to set-up efficient and clean input data pipelines using tf.data.Dataset 70% Discount on the NLP With Transformers ...
12:49
Learn TensorFlow DATA Pipeline | tf.data | Why optimize?
Build the perfect TensorFlow input pipeline w/ tf.data API. Why? Because your data do not fit in memory, you need pre-processing ...
46:24
Inside TensorFlow: tf.data + tf.distribute
In this episode of Inside TensorFlow, Software Engineer Jiri Simsa gives us the best practices for tf.data and tf.distribute.
14:11
TensorFlow Data Pipeline. Practical tutorial.
In this video we are going to see how to build the TensorFlow data pipeline, and how to use different methods of tf.data.dataset, ...
54:51
How to Build & Use TensorFlow Data Pipeline for Image Processing
Dataset input pipeline performance. Moreover, we will see how to use TensorBoard add-on "TF Profiler" for monitoring the ...
37:51
TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19)
This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine ...
19:05
TensorFlow Dataset Pipeline for Semantic Segmentation using tf.data API | TensorFlow 2.0
In this video, we are going to build TensorFlow dataset pipeline for semantic segmentation task using the tf.data API. The tutorial ...
3:57:18
Optimizing TensorFlow data pipelines for faster model training!
Stream date: 05 March 2021 -- Watch live at https://www.twitch.tv/mrdbourke.
29:38
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
12:44
Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)
As model training becomes more distributed in nature, tf.data has evolved to be more distribution aware and performant. This talk ...
35:54
Chris Fregly - High-Performance Distributed Tensorflow
Title High-Performance Distributed Tensorflow: Request Batching and Model Post-Processing Optimizations Filmed at PyData ...
9:34
TensorFlow Datasets (TF Dev Summit '19)
TensorFlow Datasets exposes a variety public research datasets with a uniform API yielding tf.data.Datasets. Fast input pipelines ...
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