This chapter introduces you to deep learning and all the fundamental, high-level concepts you need to know to implement powerful neural network models. These concepts will apply to the rest of the book and beyond. In the process, you will also implement a simple neural network model in both TensorFlow/Keras and PyTorch to perform supervised anomaly detection and serve as a gateway into learning how to model in these frameworks. ...
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