Deep Learning

AI Deep Learning

Image Classification with CNTK

This video demonstrates how to use the CNTK libraries to build out a simple image classifier using a neural network.

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Deep Learning

Which Activation Function Should You Use?

All neural networks use activation functions, but the reasons behind using them are never clear! In this video, the great Siraj Raval discusses what activation functions are, when they should be used, and what the difference between them is.

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AI Deep Learning

When And When Not To Use Deep Learning

In this episode of the AI Show, Micheleen Harris dives into when and why one would use deep learning over classical machine learning. While many tasks can be performed cheaply and well with classical machine learning and packages like scikit-learn, every once in a while, a task is better suited for a neural network architecture […]

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AI Deep Learning

The Fastest Path To Deep Learning

Sam Witteveen, Machine Learning Developer Expert Google, speaks at a recent conference in Singapore about the strategies on how to get good at deep learning rapidly.

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AI Deep Learning

Variational Autoencoders Explained

Arxiv Insights dives into Variational Autoencoders (VAEs), a class of neural networks that can learn to compress data completely unsupervised. VAE’s are a very hot topic right now in unsupervised modelling of latent variables and provide a unique solution to the curse of dimensionality.

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AI Deep Learning Robotics

Learning to Learn for Robotic Control

Pieter Abbeel presents Learning to Learn for Robotic Control at the Neural Information Processing Systems Conference last December.

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Deep Learning

Deep Fakes and the Technology Behind It

I’ve blogged about the technology behind Deep Fakes before, but here’s a look at the technology from BBC Click.

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AI AWS Deep Learning

Efficient Distributed Deep Learning Using MXNet

Anima Anandkumar discusses distributed deep learning with MXNet.

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AI AWS Deep Learning

Amazon’s MXNet Deep Learning Framework

Siraj Raval takes a look at how Amazon’s MXNet Deep Learning framework stacks up to other deep learning frameworks. It’s got an imperative programming API and it does well with distributed training.

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