Intro to Autoencoders | TensorFlow Core
Aug 16, 2024 · First example: Basic autoencoder. Define an autoencoder with two Dense layers: an encoder, which compresses the images into a 64 dimensional latent vector, and a decoder, …
Convolutional Variational Autoencoder | TensorFlow Core
Aug 16, 2024 · This notebook demonstrates how to train a Variational Autoencoder (VAE) (1, 2) on the MNIST dataset. A VAE is a probabilistic take on the autoencoder, a model which takes …
Learned data compression | TensorFlow Core
Aug 16, 2024 · This notebook shows how to do lossy data compression using neural networks and TensorFlow Compression. Lossy compression involves making a trade-off between rate, …
MusicVAE: Creating a palette for musical scores with machine …
Mar 15, 2018 · One such model is called an autoencoder (AE). An autoencoder builds a latent space of a dataset by learning to compress (encode) each example into a vector of numbers …
Variational Autoencoders with Tensorflow Probability Layers
In this blog post, we demonstrated how to combine deep learning with probabilistic programming: we built a variational autoencoder that used TFP Layers to pass the output of a Keras …
pix2pix: Image-to-image translation with a conditional GAN
Aug 16, 2024 · This tutorial demonstrates how to build and train a conditional generative adversarial network (cGAN) called pix2pix that learns a mapping from input images to output …
Basic regression: Predict fuel efficiency | TensorFlow Core
Jul 12, 2024 · In a regression problem, the aim is to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem, where the aim is to select a …
Simple audio recognition: Recognizing keywords - TensorFlow
Aug 16, 2024 · Variational Autoencoder; Lossy data compression; Model optimization. Scalable model compression with EPR; TensorFlow model optimization; Model Understanding. …
Save and load models | TensorFlow Core
Apr 3, 2024 · # Create a new model instance model = create_model # Load the previously saved weights model. load_weights (latest) # Re-evaluate the model loss, acc = model. evaluate …
Data augmentation | TensorFlow Core
Jul 19, 2024 · Variational Autoencoder; Lossy data compression; Model optimization. Scalable model compression with EPR; TensorFlow model optimization; Model Understanding. …