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Uncover What Deep CNNs Are Doing With Python and Tensorflow

Nicholas Renotte via YouTube

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Overview

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This course demonstrates how to inspect and visualize the outputs of intermediate layers in a trained convolutional neural network using Python and TensorFlow. Learners create an intermediate model, run an image through it, and build visualizations of different layer outputs.

Syllabus

- Start
- Explainer
- Code
- Import Dependencies
- Load a Trained Model
- Accessing Layers
- Creating an Intermediate Model
- Load an Image
- Predictions with the Intermediate Model
- Visualising the Output
- Create a Viz Grid
- Visualising Different Layers
- Ending

Taught by

Nicholas Renotte

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