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AI Deconstructed
AI Deconstructed

EP17 - Recurrent Neural Networks: How AI Learns to Remember the Past

45 min•6 september 2025

Om avsnittet

Journey beyond static data to explore the world of sequences, where order is everything. This episode deconstructs the Recurrent Neural Network, or R N N, the revolutionary architecture that gives AI a form of memory. Discover how R N Ns process language, speech, and time-series data by maintaining a quote hidden state, end quote, and understand the fundamental limitations that paved the way for modern AI.

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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

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

33 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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