Does tensorflow have something similar to scikit learn\'s one hot encoder for processing categorical data? Would using a placeholder of tf.string behave as categorical data
You can use tf.sparse_to_dense:
The sparse_indices argument indicates where the ones should go, output_shape should be set to the number of possible outputs (e.g. the number of labels), and sparse_values should be 1 with the desired type (it will determine the type of the output from the type of sparse_values).