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#networks

Explore Books, Authors and Common Highlights on Networks

Showing 13 of 13 highlights

The connections between people are as vital as the connections between places.

From The Ghost Map by Steven Johnson

In systems, everything is connected to everything else.
Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns.
Networks, like cities, thrive on the diversity of their components.

From Scale by Geoffrey West

The world is a series of nested networks.

From Entangled Life by Merlin Sheldrake

Life is a web of interactions.

From Entangled Life by Merlin Sheldrake

Training deep networks is challenging due to issues like vanishing gradients and requires careful initialization.
The choice of activation function can greatly influence the performance of a neural network.
Understanding the nature of networks can help us solve many of the challenges we face today.
Deep learning is a subfield of machine learning that uses algorithms inspired by the structure and function of the brain.
Mycelium is both a network and a community.

From Entangled Life by Merlin Sheldrake

Convolutional neural networks (CNNs) have proven to be very effective for image processing tasks.
Training a deep network involves adjusting the weights of connections based on the error of the output.