TensorFlow Developer Certificate - Image Classification

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Chris Behrens

2:34:30

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1. Course Overview

1. Course Overview.mp4

01:25

2. Getting Started With Computer Vision

1. Introduction.mp4

01:31

2. TensorFlow Developer Certification Exam.mp4

02:29

3. Computer Vision Overview.mp4

03:49

4. Neural Network Foundations.mp4

03:38

5. Creating Your First Computer Vision Neural Network.mp4

08:13

6. Demo - Creating Your First Computer Vision Neural Network.mp4

07:27

7. Demo - Controlling Training Process Using Callbacks.mp4

04:36

8. Course Structure.mp4

01:50

9. Summary.mp4

01:32

3. Understanding Convolutional Neural Networks

1. Introduction.mp4

01:14

2. Using Convolutional Layers.mp4

07:18

3. Calculating Trainable Parameters in CNN.mp4

02:34

4. Using Pooling Layers.mp4

03:34

5. Demo - Creating Convolutional Neural Network.mp4

09:22

6. Using Dropout Layers.mp4

01:01

7. Demo - Adding Dropout Layers.mp4

02:43

8. Summary.mp4

01:50

4. Dealing with Real-world Images

1. Introduction.mp4

01:12

2. Challenges of Real World Images.mp4

01:32

3. Using TensorFlow ImageDataGenerator.mp4

02:10

4. Demo - Creating CNN Model with Real World Images.mp4

12:21

5. Demo - Embedding Pre-processing Layer Into Model Architecture.mp4

06:13

6. Demo - Using TensorFlow Datasets.mp4

06:09

7. Improving Model Performance Using Image Augmentation.mp4

03:26

8. Demo - Applying Image Augmentation.mp4

05:11

9. Summary.mp4

01:41

5. Applying Transfer Learning

1. Introduction.mp4

01:25

2. Using Transfer Learning.mp4

06:39

3. Demo - Using TensorFlow Hub for Transfer Learning.mp4

06:37

4. Demo - Using Keras Applications for Transfer Learning.mp4

03:56

5. Summary.mp4

01:40

6. Creating Multi-class Classification Model

1. Introduction.mp4

01:12

2. Multi-class Classification.mp4

05:24

3. Demo - Building Multi-class Classification Model.mp4

07:33

4. Demo - Evaluating Multi-class Classification Model.mp4

06:02

5. Summary.mp4

01:50

7. Summary

1. Course Summary.mp4

03:11

2. Next Steps and Journey Ahead.mp4

03:00

Description

As part of the TensorFlow Developer certification, this course focuses on computer vision. By the end of the course, you will know everything to build computer vision neural networks that can handle complex real-world images using TensorFlow.

What You'll Learn?

Computer vision, especially Image Classification, is one of the most exciting areas of AI and Machine learning with ground-breaking real-world applications. As part of the TensorFlow Developer certification, this course focuses on image classification leveraging the TensorFlow framework. In this course, TensorFlow Developer Certificate - Image Classification, you’ll gain the ability to build, train, evaluate, and tune computer vision neural network models using the TensorFlow framework. First, you’ll explore computer vision and its application and how Convolutional Neural Networks can be built and used for image classification use cases. Next, you’ll discover techniques and TensorFlow components for handling complex and real-world images, such as ImageGenerator and image augmentation. Finally, you’ll learn how to apply transfer learning techniques to improve model performance and extend the binary classification setup to multi-class classification problems. When you’re finished with this course, you’ll have the skills and knowledge of TensorFlow components needed to build computer vision neural works for image classification.

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TensorFlow

Chris Behrens

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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.