human driver Feng Li (SDU) Overview September 6, 2023 11 / 57 Why Do We Need Machine Learning? Develop systems that are too difficult/expensive to construct manually because they require specific detailed detailed skills or knowledge tuned to a specific task (knowledge engineering bottleneck) Develop systems that can automatically adapt and customize them- selves to individual users. Personalized news or

Jupyter Lab! Why talk about libraries? • Advantage of various deep learning frameworks • Quick to develop and test new ideas • Automatically compute gradients • Run it all efficiently on GPU to speed up

example (x(i), y(i) in our dataset. There are m = 50 training examples, and you will use them to develop a linear regression model using gradient descent algorithm, based on which, we can predict the height

it, we could tell what the final few pieces would look like. A pretext task requires the model to develop some level of understanding of the input, but it is not unsolvable or intractable. See figure 6-2

Curiosity rover. We hope that by looking at the quality of the quantized images, the readers are able to develop an intuition on the precision trade off and compression benefits. We elaborated the idea further

adds mustache to the faces in a photo. Have you ever wondered how they do that? The first step to develop such a feature is to predict masks over the faces. This is followed by patching the filter over the

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