Build Variational Autoencoder with TensorFlow

In this video, we'll be diving into Variational Autoencoders (VAEs) and building one from scratch using TensorFlow! VAEs are a powerful type of neural network that can learn compressed representations of data, allowing them to reconstruct the original data or even generate new, similar data points. We'll walk you through the entire process, from understanding the VAE architecture to implementing the encoder, decoder, and loss function in TensorFlow. By the end of this video, you'll have a solid grasp of VAEs and be able to build your own for tasks like image compression or anomaly detection.

#variationalautoencoder, #tensorflow, #deeplearning, #generativemodels, #latentrepresentation, #machinelearning