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 ...
5:39
Tensorflow Basics | tf.data.Dataset | Beginner | API
This is a series of Videos about modules in Tensorflow for beginners to learn and get an insight of the workflow. Code starts at ...
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 ...
7:04
TensorFlow high-level APIs: Part 1 - loading data
Welcome to Part 1 of our mini-series on TensorFlow high-level APIs! In this 3 part mini-series, TensorFlow Engineering Manager ...
19:56
TensorFlow Tutorial #18 TFRecords & Dataset API
How to use TFRecords with the Dataset and Estimator APIs in TensorFlow. https://github.com/Hvass-Labs/TensorFlow-Tutorials ...
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, ...
28:43
How to Create Efficient Training Pipelines with TensorFlow data.Dataset (Tensorflow Datasets)
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29:35
TensorFlow Tutorial 12 - TensorFlow Datasets
In this video we look at the datasets that are available to us through TensorFlow Datasets (tfds) and how we load them and then ...
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 ...
2:39
TensorFlow is a tool for machine learning capable of building deep neural networks with high-level Python code. It provides ...
5:09
TensorFlow high-level APIs: Part 2 - going deep on data and features
Welcome to Part 2 of our mini-series on TensorFlow high-level APIs! In this 3 part mini-series, TensorFlow Engineering Manager ...
18:10
Backyard Techmu by Adrianus Yoga
Overview In this lab, you start by refactoring the linear regression you implemented in the previous lab so that it takes data from a ...
8:46
Data Augmentation with TensorFlow's Keras API
In this episode, we'll demonstrate how to use data augmentation on images using TensorFlow's Keras API. VIDEO ...
54:51
How to Build & Use TensorFlow Data Pipeline for Image Processing
First, we will review the tf.data library. Then, we will download a sample image and label files. After gathering all the image file ...
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 ...
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 ...
11:49
Build a Fine-Tuned Neural Network with TensorFlow's Keras API
In this episode, we'll demonstrate how to fine-tune a pre-trained model called VGG16 to classify images as cats and dogs.
39:30
Get started with TensorFlow's High-Level APIs (Google I/O '18)
High-level APIs like tf.keras enable developers to train models easily and effectively. This session will introduce these APIs, and ...
2:47:55
Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
This course will teach you how to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn ...
0:53
Tensorflow object detection api on traffic data
Hi everyone here we are comparing tensorflow object detection api with 2 models Faster RCNN and centernet hourglass model ...
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