How do Neural Networks Learn
A neural network learns by processing data through layers of neurons and passing them back to compute certain values.
Each neuron takes an input, applies a math function, and passes the result to the next layer. Initially, the network's internal parameters called weights are randomized, but as it is trained on labeled data, it adjusts them to minimize errors.
get fed into
This process, known as backpropagation, helps the network learn patterns and make more accurate predictions over time, improving with each iteration as it fine-tunes these weights.
C: 3blue1brown
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#deeplearning #neuralnetworks #math #computerscience #machinelearning #python
#datascience #education #learning #mathematics
#computerengineering #engineering #coding
A neural network learns by processing data through layers of neurons and passing them back to compute certain values.
Each neuron takes an input, applies a math function, and passes the result to the next layer. Initially, the network’s internal parameters called weights are randomized, but as it is trained on labeled data, it adjusts them to minimize errors.
get fed into
This process, known as backpropagation, helps the network learn patterns and make more accurate predictions over time, improving with each iteration as it fine-tunes these weights.
C: 3blue1brown
#3blue1brown
#deeplearning #neuralnetworks #math #computerscience #machinelearning #python
#datascience #education #learning #mathematics
#computerengineering #engineering #coding
