xiexiaobo AlbertXiebnu
AlbertXiebnu
/ objectRecog.cc&env=python
Last active
January 20, 2021 05:21
tensorflow c++ api to load model and run. from official code base.|-|&tag=gist
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #include <fstream> | |
| #include <vector> | |
| #include "tensorflow/cc/ops/const_op.h" | |
| #include "tensorflow/cc/ops/image_ops.h" | |
| #include "tensorflow/cc/ops/standard_ops.h" | |
| #include "tensorflow/core/framework/graph.pb.h" | |
| #include "tensorflow/core/framework/tensor.h" | |
| #include "tensorflow/core/graph/default_device.h" | |
| #include "tensorflow/core/graph/graph_def_builder.h" |
AlbertXiebnu
/ different filter size for word embeddings
Created
August 12, 2016 03:41
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| ## from github discuss | |
| ngram_filters = [3, 4, 5, 6, 7, 8] | |
| conv_filters = [] | |
| for n_gram in ngram_filters: | |
| conv_filters.append(Sequential()) | |
| conv_filters[-1].add(Convolution2D(nb_feature_maps, 1, n_gram, wv_sz)) | |
| conv_filters[-1].add(MaxPooling2D(poolsize=(nb_tokens - n_gram + 1, 1))) | |
| conv_filters[-1].add(Flatten()) |