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Classroom Contents
Build a Deep CNN Image Classifier with Any Images
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- 1 - Start
- 2 - Explainer
- 3 - PART 1: Building a Data Pipeline
- 4 - Installing Dependencies
- 5 - Getting Data from Google Images
- 6 - Load Data using Keras Utils
- 7 - PART 2: Preprocessing Data
- 8 - Scaling Images
- 9 - Partitioning the Dataset
- 10 - PART 3: Building the Deep Neural Network
- 11 - Build the Network
- 12 - Training the DNN
- 13 - Plotting Model Performance
- 14 - PART 4: Evaluating Perofmrnace
- 15 - Evaluating on the Test Partition
- 16 - Testing on New Data
- 17 - PART 5: Saving the Model
- 18 - Saving the model as h5 file
- 19 - Wrap Up
