CNN_MNIST_CorNoise_predict

Model: "sequential_18"

---

Layer (type) Output Shape Param #

normalization_5 (Normalizat (None, 28, 28, 1) 3
ion)

conv2d_40 (Conv2D) (None, 28, 28, 16) 160

max_pooling2d_40 (MaxPoolin (None, 14, 14, 16) 0
g2D)

conv2d_41 (Conv2D) (None, 14, 14, 128) 18560

max_pooling2d_41 (MaxPoolin (None, 7, 7, 128) 0
g2D)

flatten_18 (Flatten) (None, 6272) 0

dense_36 (Dense) (None, 1024) 6423552

dropout_10 (Dropout) (None, 1024) 0

dense_37 (Dense) (None, 10) 10250

================================================================= Total params: 6,452,525 Trainable params: 6,452,522 Non-trainable params: 3