$ python fully_connected_feed.py

This page displays a successful run of the following command.

$ python fully_connected_feed.py
Succesfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Extracting data/train-images-idx3-ubyte.gz
Succesfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
Extracting data/train-labels-idx1-ubyte.gz
Succesfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
Extracting data/t10k-images-idx3-ubyte.gz
Succesfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
Extracting data/t10k-labels-idx1-ubyte.gz
can’t determine number of CPU cores: assuming 4
I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 4
can’t determine number of CPU cores: assuming 4
I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 4
Step 0: loss = 2.31 (0.081 sec)
Step 100: loss = 2.18 (0.006 sec)
Step 200: loss = 1.98 (0.006 sec)
Step 300: loss = 1.72 (0.006 sec)
Step 400: loss = 1.39 (0.006 sec)
Step 500: loss = 1.00 (0.006 sec)
Step 600: loss = 0.88 (0.006 sec)
Step 700: loss = 0.85 (0.006 sec)
Step 800: loss = 0.64 (0.006 sec)
Step 900: loss = 0.71 (0.006 sec)
Training Data Eval:
Num examples: 55000 Num correct: 46515 Precision @ 1: 0.8457
Validation Data Eval:
Num examples: 5000 Num correct: 4276 Precision @ 1: 0.8552
Test Data Eval:
Num examples: 10000 Num correct: 8500 Precision @ 1: 0.8500
Step 1000: loss = 0.58 (0.013 sec)
Step 1100: loss = 0.51 (0.115 sec)
Step 1200: loss = 0.60 (0.006 sec)
Step 1300: loss = 0.34 (0.006 sec)
Step 1400: loss = 0.45 (0.006 sec)
Step 1500: loss = 0.52 (0.006 sec)
Step 1600: loss = 0.46 (0.006 sec)
Step 1700: loss = 0.49 (0.007 sec)
Step 1800: loss = 0.36 (0.006 sec)
Step 1900: loss = 0.27 (0.006 sec)
Training Data Eval:
Num examples: 55000 Num correct: 49009 Precision @ 1: 0.8911
Validation Data Eval:
Num examples: 5000 Num correct: 4485 Precision @ 1: 0.8970
Test Data Eval:
Num examples: 10000 Num correct: 8952 Precision @ 1: 0.8952
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