TENSORFLOW PROJECTS
Tensors, Keras models, and training loops. Build and train real neural networks from the ground up.
Project 1: TensorFlow Version Check
Project 2: Constant Tensor Greeting
Project 3: Tensor Addition Demo
Project 4: Photo Batch Tensor Inspector
Project 5: Team Size Variable Counter
Project 6: Gradient Tape Derivative Demo
Project 7: Sequential Model Builder
Project 8: Binary Classifier Compiler
Project 9: Functional API Model Builder
Project 10: Custom Price Scaler Layer
Project 11: Tiny Model Trainer
Project 12: Mean Squared Error Calculator
Project 13: Adam Optimizer Step Demo
Project 14: Accuracy Metric Tracker
Project 15: Image Channel Reshaper
Project 16: CNN Image Classifier
Project 17: Sequence RNN Builder
Project 18: LSTM Sequence Model
Project 19: L2 Regularizer Demo
Project 20: Dropout Regularized Model
Project 21: Early Stopping Callback Demo
Project 22: Custom Linear Layer Builder
Project 23: Model Save to Disk
Project 24: Model Load & Verify
Project 25: TensorBoard Logger Setup
Project 26: Price Prediction Model
Project 27: Random Data Model Trainer
Project 28: CNN with Dropout Counter
Project 29: Discount Layer Gradient Demo
Project 30: Full Training Pipeline Capstone
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FAQ
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Yes. 100%. All core knowledge on Code Syllabus is free to access.
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Just a browser. We provide an integrated coding environment for all exercises.
Q: How long does it take?
The HTML module is designed to be completed in about 5-8 hours of focused work.