Build A Deep Neural Network From Scratch In Python — No Tensorflow!
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MSNLearn With Jay
Build A Deep Neural Network From Scratch In Python — No Tensorflow!
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural Network with L layers in python from scratch. This video is for those enthusiasts who love to know under-the-hood details behind how things work ...
6 个月之前
短视频
A neural network learns by continuously adjusting its parameters - the weights and biases - to improve its prediction accuracy. These parameters are tweaked upward or downward based on how far the model’s predictions deviate from the actual results. The difference between the predicted output and the true value is measured using a loss function, which quantifies the error. To minimize this error, the model uses backpropagation, an algorithm that calculates the gradients (partial derivatives of t
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A neural network learns by continuously adjusting its parameters - the weights
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