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Articles Home » Artificial Intelligence and Machine Learning » Neural Networks and Convolutional Neural Networks Essential Training

Neural Networks and Convolutional Neural Networks Essential Training

Neural Networks and Convolutional Neural Networks Essential Training

Created by Jonathan Fernandes


04_011.Understanding the components in Keras

Neural Networks and Convolutional Neural Networks Essential Training with Jonathan Fernandes

1h 19m • COURSE
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.

Topics include:
Neurons and artificial neurons
Components of neural networks
Neural network visualization
Neural network implementation in Keras
Compiling and training a neural network model
Accuracy and evaluation of a neural network model
Convolutional neural networks in Keras
Enhancements to convolutional neural networks
Working with VGG16
      
Course Contents
01.Introduction 02.Introduction to Neural Networks 03.Components of Neural Networks 04.Neural Network Implementation in Keras 05.Convolutional Neural Networks 06.Convolutional Neural Networks in Keras 07.Enhancements to Convolutional Neural Networks (CNNs) 08.ImageNet 09.Conclusion Exercise Files

· Posted by Superadmin on May 11 2023 · 0 Comments · 181 Reads · Print
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