TensorFlow from Scratch
摘要
This chapter introduces the TensorFlow framework and teaches you how to define and train neural networks by code. It focuses on four architectures that can be ported to our embedded hardware: multilayer perceptron for tabular data classification, recurrent neural networks and 1D convolutional neural networks for time series classification, and 2D convolutional neural networks for image classification.