Course Content
Lesson 1 – Introduction to the Course
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Lesson 2 – Image Classification with single label and multi label
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Lesson 3 – PreTrained Models and their Applications
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Lesson 4 – Deep Learning ResNet and AlexNet Architectures for Image Classification
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Lesson 5 – Set up Google Colab for Writing Python Code
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Lesson 6 – Connect Google Colab with Google Drive to Read and Write Data
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Lesson 7 – Read Data from Google Drive to Colab Notebook
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Lesson 8 – Perform Data Preprocessing for Image Classification
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Lesson 9 – Single Label Image Classification using ResNet and AlexNet PreTrained Models
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Lesson 10 – Multi Label Image Classification using ResNet and AlexNet PreTrained Models
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Lesson 11 – Introduction to Transfer Learning
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Lesson 12 – Link Google Drive with Google Colab
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Lesson 13 – Dataset, Data Augmentation, Dataloaders, and Training Function
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Lesson 14 – Deep ResNet Model FineTuning
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Lesson 15 – ResNet Model HyperParameteres Optimization
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Lesson 16 – Deep ResNet Model Training
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Lesson 17 – Deep ResNet as Fixed Feature Extractor
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Lesson 18 – Model Optimization, Training and Results Visualization
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Deep Learning with Python for Image Classification
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