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Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras - Softcover

 
9781484258033: Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras

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Inhaltsangabe

Chapter 1- Perceptrons

• Introduction to Perceptrons
• Working of a Perceptron
• Program to understand the working of a Perceptron

Chapter 2: Neural Networks

• Introduction to Neural Networks
• Types of Neural Networks
• How each neural network works
• Program to understand the working of Neural Networks

Chapter 3: Project 1- DJ Neuron

• About the Project: Creating Music Using Neural Networks 

• Requirements
• Explanation of concepts used
• Architecture of the Neural Network

• Source code with line by line instructions 

Chapter 4: Project 2- Artistic Neurons

• About the Project: Adding colour to black and white images 

• Requirements
• Explanation of concepts used
• Architecture of the Neural Network

• Source code with line by line instructions 

Chapter 5: Project 3- Go HD

• About the Project: Restoration of images for better quality 

• Requirements

• Explanation of concepts used
• Architecture of the Neural Network

• Source code with line by line instructions

Chapter 6: Project 4- Voice Experiments

• About the Project: Voice Manipulation 

• Requirements

• Explanation of concepts used
• Architecture of the Neural Network

• Source code with line by line instructions

Chapter 7: Project 5- Imposters

• About the Project: Fake Image Recognition 

• Requirements
• Explanation of concepts used
• Architecture of the Neural Network

• Source code with line by line instructions 

Chapter 8: Project 6 - Gaming is Fun

• About the Project: MI-agent training using Unity. Learn to create Artificially Intelligent Characters.

  • Requirements

  • Explanation of concepts used

  • Architecture of the Neural Network

  • Source code with line by line instructions

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9781484258019: Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras

Vorgestellte Ausgabe

ISBN 10:  1484258010 ISBN 13:  9781484258019
Verlag: Apress, 2020
Softcover