March 2019
Intermediate to advanced
576 pages
20h 51m
Portuguese (Portugal, Brazil)
Content preview from Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
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298 | Capítulo 11: Treinando Redes Neurais Profundas
Reutilizando Modelos de Outras Estruturas
Você precisará carregar manualmente os parâmetros do modelo se ele foi treinado com
a utilização de outra estrutura (por exemplo, utilizar o código Theano se for treinado
com Theano) e então os atribuir às variáveis apropriadas, trabalho que pode ser bem
tedioso. Por exemplo, o código a seguir mostra como você copiaria o peso e os vieses da
primeira camada oculta de um modelo treinado em outra estrutura:
original_w = [...] # carregue os pesos do outro modelo
original_b = [...] # carregue os vieses do outro modelo
X = tf.placeholder(tf.float32, shape=(None, ...
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