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Classroom Contents
Getting Started with Python Deep Learning for Beginners
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- 1 - Start
- 2 - PART 1: Setting up Python and Jupyter with Anaconda
- 3 - Installing Anaconda
- 4 - Working with Jupyter
- 5 - PART 2: Environment Creation Workflows
- 6 - Working with Git and GitHub
- 7 - Creating Environments for DL
- 8 - Activating a Virtual Environment
- 9 - PART 3: Installing Tensorflow for Deep Learning
- 10 - Running the Image Classifier Pipeline
- 11 - PART 4: Configuring your GPU
- 12 - PART 5: Training a Deep Image Classifier
