TensorFlow Developer Certificate – Image Classification

سرفصل های دوره

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.

1. Course Overview

1. Course Overview

2. Getting Started With Computer Vision

1. Introduction

2. TensorFlow Developer Certification Exam

3. Computer Vision Overview

4. Neural Network Foundations

5. Creating Your First Computer Vision Neural Network

6. Demo - Creating Your First Computer Vision Neural Network

7. Demo - Controlling Training Process Using Callbacks

8. Course Structure

9. Summary

3. Understanding Convolutional Neural Networks

1. Introduction

2. Using Convolutional Layers

3. Calculating Trainable Parameters in CNN

4. Using Pooling Layers

5. Demo - Creating Convolutional Neural Network

6. Using Dropout Layers

7. Demo - Adding Dropout Layers

8. Summary

4. Dealing with Real-world Images

1. Introduction

2. Challenges of Real World Images

3. Using TensorFlow ImageDataGenerator

4. Demo - Creating CNN Model with Real World Images

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

6. Demo - Using TensorFlow Datasets

7. Improving Model Performance Using Image Augmentation

8. Demo - Applying Image Augmentation

9. Summary

5. Applying Transfer Learning

1. Introduction

2. Using Transfer Learning

3. Demo - Using TensorFlow Hub for Transfer Learning

4. Demo - Using Keras Applications for Transfer Learning

5. Summary

6. Creating Multi-class Classification Model

1. Introduction

2. Multi-class Classification

3. Demo - Building Multi-class Classification Model

4. Demo - Evaluating Multi-class Classification Model

5. Summary

7. Summary

1. Course Summary

2. Next Steps and Journey Ahead

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تولید کننده: PluralSight