Autoencoder feature extraction tensorflow. Now we load the MNIST dataset using tf.

Autoencoder feature extraction tensorflow. Autoencoders are neural networks used for unsupervised learning, specifically for dimensionality reduction and feature extraction. Aug 16, 2024 · An autoencoder is a special type of neural network that is trained to copy its input to its output. mnist. We will be using NumPy, Matplotlib and TensorFlow libraries. Now we load the MNIST dataset using tf. Lets see various steps involved for implementing using TensorFlow. Jul 12, 2025 · In this article we'll implement a Convolutional Neural Network (CNN) based autoencoder using TensorFlow and the MNIST dataset. . datasets. keras.