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Rohan & Lenny #2: Convolutional Neural Networks

Rohan & Lenny #2: Convolutional Neural Networks

The ingenious algorithm that accelerated computer vision (and its biological roots)
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Lenny Khazan
Rohan #7: Can artificial intelligence possess human-like minds?

Rohan #7: Can artificial intelligence possess human-like minds?

A philosophical question — not a technical one.
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Rohan Kapur
Rohan #6: The beautiful math behind logistic regression

Rohan #6: The beautiful math behind logistic regression

Black-box machine learning no more!
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Rohan Kapur
Lenny #2: Autoencoders and Word Embeddings

Lenny #2: Autoencoders and Word Embeddings

I want to take a quick break from my reinforcement learning endeavor (more on that soon) to talk about an interesting unsupervised learning…
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Lenny Khazan
Rohan #5: What are bias units?

Rohan #5: What are bias units?

This is the fifth entry in my journey to extend my knowledge of Artificial Intelligence in the year of 2016. Learn more about my motives in…
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Rohan Kapur
Rohan #4: The vanishing gradient problem

Rohan #4: The vanishing gradient problem

Oh no — an obstacle to deep learning!
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Rohan Kapur
Rohan & Lenny #1: Neural Networks & The Backpropagation Algorithm, Explained

Rohan & Lenny #1: Neural Networks & The Backpropagation Algorithm, Explained

Do you know the chain rule? Then you know the neural network backpropagation algorithm!
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Rohan Kapur
Rohan #3: Deriving the Normal Equation using matrix calculus

Rohan #3: Deriving the Normal Equation using matrix calculus

Understanding the analytical solution to linear regression.
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Rohan Kapur

Lenny #1: Robots + Reinforcement Learning

This is my first post for A Year of AI, a project that Rohan Kapur and I will be undertaking over the next year to learn more about the…
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Lenny Khazan
Rohan #2: Artificial intelligence, ∂Progress/∂Time

Rohan #2: Artificial intelligence, ∂Progress/∂Time

A technical and philosophical analysis on the past, present, and future of artificial intelligence.
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Rohan Kapur
Rohan #1: Logistic regression case study — diagnosing cancer

Rohan #1: Logistic regression case study — diagnosing cancer

How classification algorithms like Logistic Regression can understand the difference between malignant and benign breast cancer tumors.
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Rohan Kapur
#0: 2016 is the year I venture into Artificial Intelligence.

#0: 2016 is the year I venture into Artificial Intelligence.

From iPhone Apps to Neural Networks.
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Rohan Kapur
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