What You Will Learn
Curriculum
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What You Will Learn
Curriculum
What's Included
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Enroll Now
Free Preview
Quick TensorFlow
Image Classification with Transfer Learning using TensorFlow 2.4
Part 1: Image Classification w/ Transfer Learning
Course Overview (▶️ Free Preview)
Welcome and Learning Objectives (▶️ Free Preview)
1. Modern Image Recognition
2. Data Preprocessing
2.1 - Go to Colab
3. Creating Base Models from Pre-trained Convolutional Neural Networks
4. Freezing the Convolutional Base Model
5. Feature Extraction
5.1 - Go to Colab
6. Adding a New Classification Layers
7. Stack Layers, Compile and Train the Model
8. Training Statistics and Predictions
8.1 - Go to Colab
9. Transfer Learning-Summary and Takeaways
Part 2: Deploying Models to Mobile w/ Pallet
10. Creating TensorFlow Lite Models
10.1 - Go to Colab
11. Deploying Models to Android - Exploring Pallet
12. Deploying Models from the Pallet Web Console
13. Deploying Models from the Pallet App
Part 3: Optimizing Model Performance
Fine-Tuning Machine Learning Models (New!)
Data Augmentation I - Using TF Image Ops (New!)
Data Augmentation II - Using Keras Preprocessing Layers (New!)
Data Augmentation III-On-Device Keras Preprocessing Layers (coming soon!)
Keras Callbacks API (New!)
Keras Tuner (coming soon!)
PART 4: Deep Learning Essentials
Historical CNN Architectures (New!)
Built on
Unicorn Platform
