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Deep Learning Unwrapped

Deep Learning Unwrapped

Written by: jdixosnd
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About this listen

 Welcome to 'Deep Learning Unwrapped,' a podcast where we dive into the fascinating world of deep learning, one topic at a time. Whether you're just curious or already on your AI journey, this show is for you! Each episode, we’ll explore a single topic in depth, bringing intuitive examples and real-world insights without getting bogged down by rigid sequences. Tune in for quick, concise, and powerful summaries that bring deep learning concepts to life!jdixosnd
Episodes
  • 03 - Beyond Linearity: Exploring the Limits of Perceptrons

    03 - Beyond Linearity: Exploring the Limits of Perceptrons
    Oct 2 2024

    This episode outlines the limitations of the perceptron model, a type of linear classifier. The perceptron struggles with non-linearly separable data, meaning it cannot correctly classify data that cannot be divided by a straight line.

    Furthermore, its single-layer architecture restricts its ability to model complex patterns. The perceptron also suffers from a fixed learning rate, which can hinder its ability to converge efficiently.

    Other shortcomings include its binary classification nature, sensitivity to input scaling, and lack of probabilistic interpretation, making it unsuitable for tasks requiring confidence levels or multi-class classifications. Ultimately, the perceptron may not find a perfectly optimal solution due to its sample-by-sample learning process.
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    5 mins
  • 02 - Perceptron loss function

    02 - Perceptron loss function
    Oct 2 2024

    This episode explains the concept of a perceptron loss function, focusing on its calculation and providing illustrative examples.
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    9 mins
  • 01 - The Perceptron: Where Deep Learning Begins

    01 - The Perceptron: Where Deep Learning Begins
    Oct 2 2024

    Main Themes:

    • Introduction to the Perceptron algorithm and its architecture.
    • Comparison of Perceptrons with biological neurons.
    • Geometric interpretation of the Perceptron's classification mechanism.
    • Limitations of the Perceptron model.
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    14 mins
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