Introduction to TensorFlow

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Google Cloud

1:59:33

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01 Introduction to course

01 INT.MP4

03:26

02 Introduction to TensorFlow

02 INT.MP4

06:49

03 TEN.MP4

04:30

04 COM.MP4

08:40

05 LAB.MP4

01:11

06 GET.MP4

03:48

07 LAB.MP4

00:10

08 LAB.MP4

00:43

09 LAB.MP4

00:10

10 INT.MP4

00:10

03 Design and Build a TensorFlow Input Data Pipeline

11 OVE.MP4

04:18

12 WOR.MP4

03:42

13 GET.MP4

06:24

14 LAB.MP4

00:28

15 LAB.MP4

00:10

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00:54

17 LAB.MP4

00:10

18 LAB.MP4

00:37

19 LAB.MP4

00:10

20 OPT.MP4

01:15

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00:10

22 TRA.MP4

04:59

23 LAB.MP4

00:34

24 LAB.MP4

00:10

25 OPT.MP4

01:39

26 LAB.MP4

00:10

27 DES.MP4

00:10

04 Training neural networks with Tensorflow 2 and the Keras Sequential API

28 OVE.MP4

00:43

29 ACT.MP4

08:43

30 ACT.MP4

05:52

31 NEU.MP4

07:53

32 LAB.MP4

00:21

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00:10

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00:43

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00:10

36 LAB.MP4

01:06

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00:10

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00:10

05 Training neural networks with Tensorflow 2 and Keras Functional API

39 NEU.MP4

10:01

40 REG.MP4

04:53

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05:02

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05:20

43 SER.MP4

03:18

44 LAB.MP4

00:38

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00:10

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06 Summary

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08:03

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07 Course Resource

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00:10

Description

This course is focused on using the flexibility and “ease of use” of TensorFlow 2.x and Keras to build, train, and deploy machine learning models. You will learn about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. We will introduce you to working with datasets and feature columns. You will learn how to design and build a TensorFlow 2.x input data pipeline. You will get hands-on practice loading csv data, numPy arrays, text data, and images using tf.Data.Dataset. You will also get hands-on practice creating numeric, categorical, bucketized, and hashed feature columns. We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models. We’ll talk about activation functions, loss, and optimization. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform.

What You'll Learn?

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TensorFlow

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Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.