Open peacherwu opened 4 years ago
I am able to recover the result in C++ as in your comment of mnist_cnn_one_iteration.py
mnist_cnn_one_iteration.py
# on my pc I got: #[[ 0.03729606 0.00783805 0.06588034 0.21728528 0.01093729 0.34730983 # 0.01350389 0.02174525 0.26624694 0.01195715]]
# on my pc I got:
#[[ 0.03729606 0.00783805 0.06588034 0.21728528 0.01093729 0.34730983
# 0.01350389 0.02174525 0.26624694 0.01195715]]
Yet my python script yields a totally different prediction:
$ python mnist_cnn_one_iteration.py Using Theano backend. X_train shape: (60000, 1, 28, 28) 60000 train samples 10000 test samples Train on 60000 samples, validate on 10000 samples Epoch 1/1 60000/60000 [==============================] - 20s - loss: 1.8239 - val_loss: 1.1273 Prediction on saved sample: [[ 0.01161582 0.1554343 0.13277179 0.30984354 0.02740803 0.12834443 0.00520513 0.02088989 0.13061689 0.07787018]]
My pc configs:
Pls help...
I am able to recover the result in C++ as in your comment of
mnist_cnn_one_iteration.py
# on my pc I got:
#[[ 0.03729606 0.00783805 0.06588034 0.21728528 0.01093729 0.34730983
# 0.01350389 0.02174525 0.26624694 0.01195715]]
Yet my python script yields a totally different prediction:
My pc configs:
Pls help...