Implement Image Recognition with a Convolutional Neural Network

سرفصل های دوره

Image recognition is used in a wide variety of ways in our daily lives. This course will teach you how to tune and implement convolutional neural networks in order to implement image recognition and classification on a business case.

1. Course Overview

1. Course Overview

2. Exploring and Preparing a Dataset for Image Recognition

1. Course and Module Introduction

2. What Are We Trying to Solve

3. Demo - Setting up Your Environment

4. Demo - Organizing the Dataset

5. Demo - Exploring the Dataset

7. Summary and Up Next

03. Training a Convolutional Neural Network to Classify Images

01. Module Introduction

02. What Are Convolutional Neural Networks

03. CNN - Convolutions

04. CNN - Activation

05. CNN - Pooling

06. CNN - Classification

07. Demo - Creating the CNN Architecture

08. Demo - Training the Model

10. Summary and Up Next

04. Improving Performance of the Convolutional Neural Network

01. Module Introduction

02. Better Performance When and How

04. Hyperparameter Tuning

05. Overfitting and Underfitting

07. What Is Transfer Learning

08. Transfer Learning When and How

10. Summary

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تولید کننده: PluralSight