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Lynda - Neural Networks and Convolutional Neural Networks Essential Training
Categories: Tutorials
Lynda - Neural Networks and Convolutional Neural Networks Essential Training - 689777
Lynda - Neural Networks and Convolutional Neural Networks Essential Training
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning. In this hands-on course, instructor Jonathan Fernandes covers fundamental neural and convolutional neural network concepts. Jonathan begins by providing an introduction to the components of neural networks, discussing activation functions and backpropagation. He then looks at convolutional neural networks, explaining why they're particularly good at image recognition tasks. He also steps through how to build a neural network model using Keras. Plus, learn about VGG16, the history of the ImageNet challenge, and more.


Table of Contents

  • Introduction
  • 1. Introduction to Neural Networks
  • 2. Components of Neural Networks
  • 3. Neural Network Implementation in Keras
  • 4. Convolutional Neural Networks
  • 5. Convolutional Neural Networks in Keras
  • 6. Enhancements to Convolutional Neural Networks (CNNs)
  • 7. ImageNet
  • Conclusion

    • Lynda - Neural Networks and Convolutional Neural Networks Essential Training


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