Bedanya Parameter dengan Hyper-Parameter

Bedanya parameter dan hyper-parameter (terutama di bidang deep learning) ============================================= Konten, script, suara: Marcella Astrid Editing, subtitle, ekstra humor: Diaz Jubairy (https://www.linkedin.com/in/diazjubairy/) Link buat yang mau nyawer: saweria.co/marcellaastrid buymeacoffee.com/marcellaastrid #Parameter #Hyperparameter #anakai ============================================= Sumber: https://datascience.stackexchange.com/questions/14187/what-is-the-difference-between-model-hyperparameters-and-model-parameters Video-video yang ditongolin di video ini: Gradient descent: https://youtu.be/0y6mUUY--Es Backpropagation: https://youtu.be/gUo9ESzNoFs Bias: https://youtu.be/Aqp5cNDS3Qk Learning rate: https://youtu.be/DoCtu8cjDac Convolution: https://youtu.be/3NwE3Eu8g7c Fully connnected: https://youtu.be/VmQNVsU_mPU Dilated convolution: https://youtu.be/Q0S8s5xjHlQ Mini-batch: https://youtu.be/TytDPDPRVu8 Cross entropy loss: https://youtu.be/rBKWVHhFqGU Regression loss: https://youtu.be/Af-FxJ9XFAk YOLO loss: https://youtu.be/tLawJnuR46o