AI Glossary Series - Feed-Forward Neural Network AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

Usually used as a simple example for how deep learning neural networks work, a feed-forward neural network is the most basic, “vanilla” general kind of neural network. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Feed-Forward Neural Network, 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: 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