Traffic-Sign-Classifier/output.txt at master · x65han/Traffic-Sign-Classifier · GitHub

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Archive:  traffic-signs-data.zip
  inflating: test.p
  inflating: train.p

Number of training examples = 31367

Number of validation examples = 7842

Number of testing examples = 12630

Shape of image data = (32, 32, 3)

Number of classes = 43

Training...

EPOCH 1/60:
Validation Accuracy = 0.639

EPOCH 2/60:
Validation Accuracy = 0.829

EPOCH 3/60:
Validation Accuracy = 0.886

EPOCH 4/60:
Validation Accuracy = 0.927

EPOCH 5/60:
Validation Accuracy = 0.934

EPOCH 6/60:
Validation Accuracy = 0.952

EPOCH 7/60:
Validation Accuracy = 0.957

EPOCH 8/60:
Validation Accuracy = 0.957

EPOCH 9/60:
Validation Accuracy = 0.963

EPOCH 10/60:
Validation Accuracy = 0.968

EPOCH 11/60:
Validation Accuracy = 0.969

EPOCH 12/60:
Validation Accuracy = 0.967

EPOCH 13/60:
Validation Accuracy = 0.972

EPOCH 14/60:
Validation Accuracy = 0.973

EPOCH 15/60:
Validation Accuracy = 0.972

EPOCH 16/60:
Validation Accuracy = 0.976

EPOCH 17/60:
Validation Accuracy = 0.979

EPOCH 18/60:
Validation Accuracy = 0.979

EPOCH 19/60:
Validation Accuracy = 0.977

EPOCH 20/60:
Validation Accuracy = 0.979

EPOCH 21/60:
Validation Accuracy = 0.980

EPOCH 22/60:
Validation Accuracy = 0.975

EPOCH 23/60:
Validation Accuracy = 0.974

EPOCH 24/60:
Validation Accuracy = 0.982

EPOCH 25/60:
Validation Accuracy = 0.983

EPOCH 26/60:
Validation Accuracy = 0.979

EPOCH 27/60:
Validation Accuracy = 0.976

EPOCH 28/60:
Validation Accuracy = 0.980

EPOCH 29/60:
Validation Accuracy = 0.981

EPOCH 30/60:
Validation Accuracy = 0.981

EPOCH 31/60:
Validation Accuracy = 0.984

EPOCH 32/60:
Validation Accuracy = 0.979

EPOCH 33/60:
Validation Accuracy = 0.980

EPOCH 34/60:
Validation Accuracy = 0.982

EPOCH 35/60:
Validation Accuracy = 0.982

EPOCH 36/60:
Validation Accuracy = 0.980

EPOCH 37/60:
Validation Accuracy = 0.982

EPOCH 38/60:
Validation Accuracy = 0.980

EPOCH 39/60:
Validation Accuracy = 0.982

EPOCH 40/60:
Validation Accuracy = 0.982

EPOCH 41/60:
Validation Accuracy = 0.983

EPOCH 42/60:
Validation Accuracy = 0.981

EPOCH 43/60:
Validation Accuracy = 0.982

EPOCH 44/60:
Validation Accuracy = 0.984

EPOCH 45/60:
Validation Accuracy = 0.982

EPOCH 46/60:
Validation Accuracy = 0.985

EPOCH 47/60:
Validation Accuracy = 0.975

EPOCH 48/60:
Validation Accuracy = 0.980

EPOCH 49/60:
Validation Accuracy = 0.985

EPOCH 50/60:
Validation Accuracy = 0.985

EPOCH 51/60:
Validation Accuracy = 0.986

EPOCH 52/60:
Validation Accuracy = 0.985

EPOCH 53/60:
Validation Accuracy = 0.981

EPOCH 54/60:
Validation Accuracy = 0.984

EPOCH 55/60:
Validation Accuracy = 0.985

EPOCH 56/60:
Validation Accuracy = 0.984

EPOCH 57/60:
Validation Accuracy = 0.985

EPOCH 58/60:
Validation Accuracy = 0.985

EPOCH 59/60:
Validation Accuracy = 0.984

EPOCH 60/60:
Validation Accuracy = 0.985

Model saved
Test Accuracy = 0.915
8 tests queued
Test Set Accuracy = 1.000