Lesson 15: Deep Learning Foundations to Stable Diffusion

(All lesson resources are available at http://course.fast.ai.) We start with a dive into convolutional autoencoders and explore the concept of convolutions. Convolutions help neural networks understand the structure of a problem, making it easier to solve. We learn how to apply a convolution to an image using a kernel and discuss techniques like im2col, padding, and stride. We also create a CNN from scratch using a sequential model and train it on the GPU.

We then attempt to build an …

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