Deep Learning: Image Recognition

Contents

• Introduction Introduction

  • Build cutting-edge image recognition systems

    57s
  • What you should know

    30s
  • Exercise files

    31s
• 1. Setting Up Your Development Environment 1. Setting Up Your Development Environment

  • Installing Python 3, Keras, and TensorFlow on macOS

    4m 35s
  • Installing Python 3, Keras, and TensorFlow on Windows

    4m 38s
• 2. How Image Classification Works 2. How Image Classification Works

  • What is a neural network?

    1m 32s
  • Coding a neural network with Keras

    2m 58s
  • Feeding images into a neural network

    2m 40s
  • Recognizing image contents with a neural network

    2m 51s
  • Adding convolution for translational invariance

    2m 49s
• 3. Designing a Deep Neural Network for Image Recognition 3. Designing a Deep Neural Network for Image Recognition

  • Designing a neural network architecture for image recognition

    4m 7s
  • Exploring the CIFAR-10 data set

    2m 50s
  • Loading an image data set

    4m 6s
  • Dense layers

    3m 27s
  • Convolution layers

    5m 15s
  • Max pooling

    1m 40s
  • Dropout

    1m 54s
  • A complete neural network for image recognition

    2m 30s
• 4. Building and Training the Deep Neural Network 4. Building and Training the Deep Neural Network

  • Setting up a neural network for training

    3m 11s
  • Training a neural network and saving weights

    4m 37s
  • Making predictions with the trained neural network

    8m 54s
• 5. Fine-Tuning Pre-trained Neural Networks 5. Fine-Tuning Pre-trained Neural Networks

  • Pre-trained neural networks included with Keras

    3m 28s
  • Using a pre-trained network for object recognition

    3m 40s
  • Transfer learning as an alternative to training a new neural network

    3m 53s
  • Extracting features with a pre-trained neural network

    5m 40s
  • Training a new neural network with extracted features

    1m 49s
  • Making predictions with transfer learning

    3m 30s
• 6. Using an Image Recognition API 6. Using an Image Recognition API

  • When to use an API instead of building your own solution

    3m 33s
  • Introduction to the Google Cloud Vision API

    2m 14s
  • Setting up Google Cloud Vision account credentials

    2m 40s
  • Recognizing objects in photographs with Google Cloud Vision

    3m 3s
  • Extracting text from images with Google Cloud Vision

    3m 22s
• Conclusion Conclusion

  • Next steps

    27s