Neural Networks Tutorial - Intro to Neural Networks, Deep Learning, and the Tensorflow API

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A Neural Network is a computing system composed of “neurons” and “weights”. Using learning algorithms, the neurons have the ability to train themselves in response to external stimuli. In this Neural Networks Tutorial, we provide a brief introduction to statistical learning, before diving into neural networks and the mathematical components of which they are comprised.

Watch this video to learn:

- What is a neural network
- How the gradient descent algorithm allows the neural network to "learn" from a large dataset
- A brief tour of Google's Tensorflow API







Tags:
Neural Networks
Neural Networks Tutorial
Deep Learning
Tensorflow