Image Classification with Transfer Learning using TensorFlow 2.x
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Course Overview (0:41)
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Welcome and Learning Objectives (1:45)
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1. Modern Image Recognition (5:42)
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2. Data Preprocessing (5:01)
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2.1 - Go to Colab (8:50)
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3. Creating Base Models from Pre-trained Convolutional Neural Networks (3:19)
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4. Freezing the Convolutional Base Model (2:44)
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5. Feature Extraction (2:15)
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5.1-Go to Colab (7:16)
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6. Adding a New Classification Layers (3:55)
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7. Stack Layers, Compile and Train the Model (4:07)
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8. Training Statistics and Predictions (3:04)
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8.1 Go to Colab (11:28)
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9. Transfer Learning-Summary and Takeaways (2:18)
Deploying Models to Mobile Devices with Pallet
Course Updates (NEW!)
Sample Lessons (Optional)
