在keras的模型拟合函数中设置class_weights参数时,如下所示: 代码语言:javascript 代码运行次数:0 复制Cloud Studio 代码运行 model.fit(X_train, y_train, class_weight={0: 2.217857142857143, 1: 0.6455301455301455}) 我不确定用哪种方法将class_weight权重设置为正确的类: 是class_weight={0: 2.217857142857143,...
Indeed, in the meantime I found a series of posts where the same problem is discussed in relation to Keras in Python, see in particular Answer 40 inhttps://datascience.stackexchange.com/questions/13490/how-to-set-class-weights-for-imbalanced-classes-in-keras. Parallel to that I found in R...
(self, /opt/conda/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py in fit(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, ...
最近在新环境跑inceptionv3,一直报错,最终原因就是找不到这两个模型文件: imagenet_class_index.json inception_v3_weights_tf_dim_ordering_tf_kernels.h5 下载过程不啰嗦,下载好,将文件存放到: ~/.keras/models/ 大功告成!!!
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