Neural Network from Scratch without ML libraries | 100 lines of Python code

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Implementation of a Neural Network from Scratch in 100 lines of Python code, without using AD libraries (PyTorch, TensorFlow, JAX, ...).

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#python #neuralnetworks #machinelearning #artificialintelligence #deeplearning #data #supervisedlearning #research #neural #function #relu #fromscratch #perceptron #multilayerperceptron #mlp #classification #MNIST #logsoftmax #nllloss
  1. Papers in 100 Lines of Code
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Комментарии
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Quite à subir l'accent français, je préfèrerais l'entendre dans ma langue natale. 😄
I barely stand it in english, sorry.
Congratulations on the effort to synthesize so much into one short implementation and video. It quite demystifies machine learning.

emjizone
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that seems pretty cool. i will try it! thank you!

legion_prex
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For multiple layers, the first weights and biases are set randomly; how do you determine what to use for the next layer's weights and biases {when going forward, not backward)?

deeber