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AI Deconstructed
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EP18 - LSTMs and the Vanishing Gradient: Solving AI's Long-Term Memory Problem

33 min•13 september 2025
Simple RNNs are fatally flawed; they have the memory of a goldfish. This episode dives "under the hood" to diagnose the "vanishing gradient problem" that causes this amnesia and systematically deconstructs its solution: the Long Short-Term Memory (LSTM) network. You will learn how the LSTM's brilliant "gate" system acts as a managed memory controller, enabling AI to finally learn and connect ideas across long sequences.

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EP25 - The Alignment Problem: Ensuring a Safe and Beneficial Future
•43 min
EP24 - AI Ethics: Decoding Algorithmic Bias, Fairness, and Accountability
•34 min
EP23 - Generative AI (Part 2): Diffusion Models and the Art of Denoising
•39 min
EP22 - Generative AI Part 1: GAN and VAE Creative Architectures
•22 min
EP21 - Large Language Models and The Power of Scale
•32 min
EP20 - The Transformer Architecture: Attention is All You Need
•28 min
EP19 - Robotics and Embodied AI: Giving AI a Body
•40 min
EP17 - Recurrent Neural Networks: How AI Learns to Remember the Past
•45 min
EP16 - The CNN Engine: Inside Convolutional and Pooling Layers
•45 min
EP15 - The Convolutional Revolution: How CNNs Gave AI Vision
•40 min

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