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Developing a Powerful Deep Learning Model
In this chapter, we will describe how to design and train a deep learning (DL) model. Within the notebook context described in the previous chapter, data scientists investigate various network designs and model training settings to generate a working model for the given task. The main topics of this chapter include the theory behind DL and how to train a model using the most popular DL frameworks: PyTorch and TensorFlow (TF). At the end of the chapter, we will decompose the StyleGAN implementation, a popular DL model for image generation, to explain how to construct a complex model using the components that we have introduced in this chapter.
In this chapter, we’re going to cover the following main ...
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