Brian Spiesman
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Brian Spiesman
I trained a custom EfficientNetB2 classification model with Tensorflow 2.9.0: ``` base_model = EfficientNetB2(include_top=False, pooling ='avg', weights='imagenet', input_shape=(IMG_SIZE, IMG_SIZE, 3)) x = base_model.output x = Dense(1024, activation='relu')(x) x = Dropout(0.01)(x)...
type:feature
comp:converter
stat:awaiting tensorflower