First, let's suppose that you loaded the California housing dataset, you shuffled it, you split it into a training set, a validation set and a test set, then you split each set into many CSV files that each look
https://github.com/tensorflow/models/blob/master/research/deeplab/eval.py#L112 Do not use the pre-processing for multi-scale inputs during inference. This problem appears when we perform single-scale test. We do not explicitly call pre-processing function during the evaluation, it is called in...
TensorSpace-Converter will convert an input model into a multi-output model, checkout thisarticlefor more information about multi-output model and model preprocessing. $ tensorspacejs_converter \ --input_model_from="tensorflow"\ --input_model_format="tf_keras"\ --output_layer_names="conv_1,max...