CNN_Pet_mask_predict

Model: "sequential_29"

---

Layer (type) Output Shape Param #

conv2d_87 (Conv2D) (None, 64, 64, 16) 448

---

conv2d_88 (Conv2D) (None, 64, 64, 32) 4640

---

max_pooling2d_29 (MaxPooling (None, 32, 32, 32) 0

---

conv2d_89 (Conv2D) (None, 32, 32, 64) 18496

---

up_sampling2d_18 (UpSampling (None, 64, 64, 64) 0

---

conv2d_transpose_58 (Conv2DT (None, 64, 64, 64) 36928

---

up_sampling2d_19 (UpSampling (None, 128, 128, 64) 0

---

conv2d_transpose_59 (Conv2DT (None, 128, 128, 3) 1731

Total params: 62,243 Trainable params: 62,243 Non-trainable params: 0