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Neural Networks & Teachable Machines – Week 3 at Berkeley
Manage episode 482394781 series 2864788
In Episode 7, Ben explores neural networks and deep learning from Week 3 of his Berkeley ExecEd journey. Joined by co-host HAIley, he unpacks classification vs regression, loss functions, and adversarial inputs — and shares his real-world experiment using Google’s Teachable Machine on his podcast audio archive. The episode highlights how training data, error penalties, and robustness all shape effective AI models in the real world.
48 episodes
Manage episode 482394781 series 2864788
In Episode 7, Ben explores neural networks and deep learning from Week 3 of his Berkeley ExecEd journey. Joined by co-host HAIley, he unpacks classification vs regression, loss functions, and adversarial inputs — and shares his real-world experiment using Google’s Teachable Machine on his podcast audio archive. The episode highlights how training data, error penalties, and robustness all shape effective AI models in the real world.
48 episodes
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