Summary
Chapters
Video Info
Supplementary material
Dr. Chirag Shah, PhD, Associate Professor at the Information School, University of Washington, works through a practical example of developing a simple neural network for deep learning using Python, including coding for creating a neural network, training, and testing.
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Chapter 1: Chirag Shah Introduces the Dataset and the Software for Developing a Simple Neural Network for Deep Learning
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Chapter 2: Chirag Shah Explains the Coding to Visualize Images and Set Plot Parameters For the Training Data of a Simple Neural Network
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Chapter 3: Chirag Shah Explains the Coding To Create a Neural Network for Deep Learning
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Chapter 4: Chirag Shah Explains the Coding To Define the Training Function in a Simple Neural Network for Deep Learning
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Chapter 5: Chirag Shah Explains the Coding to Define the Test Function in a Simple Neural Network for Deep Learning
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Chapter 6: Chirag Shah Runs the Sample Code for a Simple Neural Network for Deep Learning
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Chapter 7: Chirag Shah Sums Up the Steps to Develop a Simple Neural Network for Deep Learning
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