Thinking about machine learning.
Machine learning systems aren’t like algorithmic systems. Neurons are arranged in layers: an input layer that accepts the raw data, an output layer that reports the classification result, and hidden layers that gradually tease out the features of the data elements.
This episode introduces the concept of neural layers and a convolutional neural network.
Thinking about machine learning.
Machine learning systems aren’t like algorithmic systems. Neurons are arranged in layers: an input layer that accepts the raw data, an output layer that reports the classification result, and hidden layers that gradually tease out the features of the data elements.
This episode introduces the concept of neural layers and a convolutional neural network.
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