EDGE FDE
BeginnerModel architectures in plain English
See the shapes behind language, image, classifier, and generative models. We use the clothing-classifier course and From the metal to the model as the main examples.
For someone who is comfortable with computers and wants simple words and a clear picture of what goes in and what comes out.
Lessons
Key concepts
- Architecture is the shape of a model: what goes in, what comes out, and how information moves.
- Weights are the learned settings inside that shape. Architecture is the shape itself.
- This course uses ClothingCNN on Fashion-MNIST and From the metal to the model as the running examples.
- Language, image, classifier, and generative models are different jobs, not different brand names.
Takeaways
- You can name a model by its input and output before you name a file or a vendor.
- You can place ClothingCNN as pixels in, clothing label out.
- You know the next step is the forward clothing course or From the metal to the model.
Agent briefs
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