L3: Faster-higher-stronger | the rise of deep learning
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10.2K viewsAug 10, 2023
YouTubeIIT Madras - B.S. Degree Programme
L56: Deep learning revival | the role of unsupervised pretraining
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YouTubeIIT Madras - B.S. Degree Programme
L25: Feed forward neural networks explained | backpropagation intuition
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12.6K viewsAug 10, 2023
YouTubeIIT Madras - B.S. Degree Programme
L51: Ensemble methods | bagging & model averaging
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L51: Ensemble methods | bagging & model averaging
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YouTubeIIT Madras - B.S. Degree Programme
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W10_L1: Introduction to deep learning on big data
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W10_L1: Introduction to deep learning on big data
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YouTubeIIT Madras - B.S. Degree Programme
L24: Backpropagation (intuition) | how neural nets learn
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YouTubeIIT Madras - B.S. Degree Programme
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YouTubeIIT Madras - B.S. Degree Programme
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L38: RMSProp | adaptive learning with exponential decay
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YouTubeIIT Madras - B.S. Degree Programme
L45: Introduction to bias & variance
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L45: Introduction to bias & variance
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YouTubeIIT Madras - B.S. Degree Programme
2:55
L40: Convolutional neural networks | intro | part 1 | stride, padding & filters
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YouTubeIIT Madras - B.S. Degree Programme
8:35
L16: Linearly separable functions | boolean complexity & limitations of perceptron
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YouTubeIIT Madras - B.S. Degree Programme
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L39: Deep learning for computer vision | from edge detection to neural networks
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L22: Learning parameters (intuition) | scaling gradient descent in neural nets
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YouTubeIIT Madras - B.S. Degree Programme
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L46: L2 regularization | balancing error & complexity
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YouTubeIIT Madras - B.S. Degree Programme
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L12: Proof of convergence: perceptron learning algorithm
12.3K viewsAug 10, 2023
YouTubeIIT Madras - B.S. Degree Programme
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L9: Perceptrons:from mcculloch-pitts to weighted inputs, & real-world classification
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YouTubeIIT Madras - B.S. Degree Programme
23:47
L10: McCulloch Pitts neuron & thresholding logic
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YouTubeIIT Madras - B.S. Degree Programme
8:44
L6: Motivation from biological neuron:foundations of neural nets
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YouTubeIIT Madras - B.S. Degree Programme
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L54: Summary: regularization techniques & loss landscape
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YouTubeIIT Madras - B.S. Degree Programme
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From Algorithms to Deep Learning - What It Takes to Teach It All | ft. Karthik Thiagarajan
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L1: Introduction to transformer architecture
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L8: Perceptron learning algorithm | geometry & real-world example
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21:17
L64: Multi-headed attention in transformers | self-attention explained
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YouTubeIIT Madras - B.S. Degree Programme
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L35: Nesterov accelarated gradient descent
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YouTubeIIT Madras - B.S. Degree Programme
18:28
L44: Nadam (Nesterov-accelerated adaptive moment estimation)
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YouTubeIIT Madras - B.S. Degree Programme
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L11: Representation power of a petwork of perceptrons | mlps & neural architectures
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