In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Convolutional Neural Network (CNN), explain how these terms relate to AI and why it’s important to know about them.
Show Notes:

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AI Glossary
Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
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: Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM)
Glossary Series: Pattern Recognition
Glossary Series: Recognition Systems, Computer Vision, ImageNet
Understanding The Recognition Pattern of AI
Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition

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