An Initial Understanding of TensorFlow

This note provides a detailed introduction to the process of training a 3-layer neural network using TensorFlow for handwritten digit recognition. The main content and key points of the note are as follows: 1. **Dataset Preparation**: - The MNIST dataset was loaded using the `load_dataset()` function. - The images in the dataset were reshaped to a size of 28x28, and the labels were one-hot encoded. 2. **Creating Placeholders**: - The dimensions of the input and output were defined, and placeholders were created to store the features and