Learning Rate in a Neural Network explained
4:26
YouTubedeeplizard
Learning Rate in a Neural Network explained
In this video, we explain the concept of the learning rate used during training of an artificial neural network and also show how to specify the learning rate in code with Keras. 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources 00:30 Help deeplizard add video timestamps - See example in ...
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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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5.2K views · 561 reactions | El learning rate (tasa de aprendizaje) es un hiperparámetro clave en el entrenamiento de modelos de machine learning, especialmente en redes neuronales y algoritmos de optimización como el descenso de gradiente. Controla cuánto deben ajustarse los pesos del modelo en cada iteración de entrenamiento. #programacion #machinelearning #inteligenciaartificial #learningrate | Pildoras de programación | Facebook
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5.2K views · 561 reactions | El learning rate (tasa de aprendizaje) es un hiperparámetro clave en el entrenamiento de modelos de machine learning, especialmente en redes neuronales y algoritmos de optimización como el descenso de gradiente. Controla cuánto deben ajustarse los pesos del modelo en cada iteración de entrenamiento. #programacion #machinelearning #inteligenciaartificial #learningrate | Pildoras de programación | Facebook
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