AI Today Podcast: AI Glossary Series – Encoder-Decoder, AutoEncoder, and Generative Adversarial Network (GAN)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Decoder, AutoEncoder, Generative Adversarial Network (GAN), explain how these terms relate to AI and why it's important to know about them.

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies? Check out these hand-selected books in our Suggested Reading List that can help you expand your knowledge or put your knowledge to use.

Show Notes:

FREE Intro to CPMAI mini course

CPMAI Training and Certification

Suggested Reading List

AI Glossary

Glossary Series: Recognition Systems, Computer Vision, ImageNet

Glossary Series: Training Data, Epoch, Batch, Learning Curve

Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer

Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU

Glossary Series: Perceptron

Glossary Series: Hidden Layer, Deep Learning

Glossary Series: Loss Function, Cost Function & Gradient Descent

Glossary Series: Backpropagation, Learning Rate, Optimizer

Glossary Series: Feed-Forward Neural Network

Glossary Series: Convolutional Neural Network (CNN)

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