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III. Main Body
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| Week | Theme | Key Concepts | Hands‑On Lab | |------|-------|--------------|--------------| | | Foundations of Modern AI | Review of linear models, gradient descent, overfitting, model evaluation | Build a simple ML pipeline in scikit‑learn | | 2 | Deep Neural Networks | MLPs, activation functions, back‑propagation, weight initialization | Train a CNN on the CIFAR‑10 dataset (Colab) | | 3 | Convolutional & Vision Models | Transfer learning, data augmentation, object detection (YOLOv5) | Fine‑tune a pre‑trained ResNet on a custom image set | | 4 | Sequence Modeling | RNNs, LSTMs, GRUs, attention, Transformer basics | Implement a text‑generation model (tiny‑GPT) | | 5 | Reinforcement Learning | Markov Decision Processes, Q‑learning, policy gradients, OpenAI Gym | Train an agent to solve CartPole and MountainCar | | 6 | Generative Models | Variational Autoencoders, GANs, diffusion models | Create a DCGAN that produces handwritten digits | | 7 | Responsible & Explainable AI | Fairness metrics, model interpretability (SHAP, LIME), privacy (DP‑SGD) | Conduct a bias audit on a credit‑scoring model | | 8 | Deployment & Scaling | Model serialization, ONNX, Docker, serverless inference, monitoring | Deploy a FastAPI endpoint to a free Heroku/DigitalOcean droplet and test latency |
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To help find exactly what you need, could you share (e.g., a forum, video site, or social media)? Knowing what type of content you expect it to be (a video, a game mod, or a creator profile) will let me give you specific directions. Share public link
| Item | Command / Link | |------|----------------| | | git clone https://github.com/OLH-MIAA625/starter-notebooks.git | | Activate Colab GPU | Runtime → Change runtime type → Hardware accelerator → GPU | | Install extra packages | !pip install -q transformers[torch] | | Export badge | Click “Claim Badge” → “Export as PNG” on the final dashboard page | | Join Discord | Invite link on the course homepage (expires after 30 days) | | Submit a quiz | In each module, click “Start Quiz” → auto‑graded, immediate feedback | | Deploy model (FastAPI) | uvicorn app:app --host 0.0.0.0 --port $PORT (use the free Heroku CLI) |
456498156/250. csv * Star 8 (8) You must be signed in to star a gist. * Fork 0 (0) You must be signed in to fork a gist. MIAA-625 Mina Kitano - Facebook
This particular release, numbered 625, features Mina Kitano , a highly recognizable performer in the industry.
