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#neural-networks

Explore Books, Authors and Common Highlights on Neural-networks

Showing 4 of 4 highlights

Deep learning is a subfield of machine learning that uses algorithms inspired by the structure and function of the brain.

From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

#technology#machine-learning#neural-networks#algorithms
Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns.

From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

#neural-networks#patterns#algorithms#technology#brain
Convolutional neural networks (CNNs) have proven to be very effective for image processing tasks.

From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

#neural-networks#image-processing#cnn#computer-vision
The choice of activation function can greatly influence the performance of a neural network.

From Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

#activation-function#performance#neural-networks#influence#technology