# Week1 assignment\_2 convolutional\_model **URL:** \ **Category:** Convolutional Neural Networks\ **Tags:** coursera-platform\ **Created:** [July 26, 2021, 1:17pm UTC](https://community.deeplearning.ai/t/week1-assignment-2-convolutional-model/23443 "2021-07-26T13:17:25Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Afsar\_Khan](https://avatars.discourse-cdn.com/v4/letter/a/f14d63/32.png) [@Afsar\_Khan](https://community.deeplearning.ai/u/Afsar_Khan)\ **Post date:** [July 26, 2021, 1:17pm UTC](https://community.deeplearning.ai/t/week1-assignment-2-convolutional-model/23443/1 "2021-07-26T13:17:25Z")
In convolutional model encountering the following error input\_img = tf.keras.Input(shape=input\_shape) ## CONV2D: 8 filters 4x4, stride of 1, padding ‘SAME’ Z1 = tf.keras.layers.Conv2D(filters = 8, strides=(1), kernel\_size = [4, 4], padding = ‘same’)(input\_img) ## RELU A1 = tf.keras.layers.ReLU()(Z1) ## MAXPOOL: window 8x8, stride 8, padding ‘SAME’ P1 = tf.keras.layers.MaxPooling2D(pool\_size=(8, 8), strides=(8, 8), padding=‘same’)(A1) ## CONV2D: 16 filters 2x2, stride 1, padding ‘SAME’ Z2 = tf.keras.layers.Conv2D(filters = 16, strides = (1), kernel\_size = [2, 2], padding = ‘same’)(input\_img) ## RELU A2 = tf.keras.layers.ReLU()(Z2) ## MAXPOOL: window 4x4, stride 4, padding ‘SAME’ P2 = tf.keras.layers.MaxPooling2D(pool\_size=(4, 4), strides=(4, 4), padding=‘same’)(A2) ## FLATTEN F = tf.keras.layers.Flatten()(input\_img) ## Dense layer ## 6 neurons in output layer. Hint: one of the arguments should be “activation=‘softmax’” outputs = tf.keras.layers.Dense(units=6, activation=‘softmax’)(F) # YOUR CODE STARTS HERE Model: “functional\_15” * * * # Layer (type) Output Shape Param # input\_9 (InputLayer) [(None, 64, 64, 3)] 0 * * * flatten\_8 (Flatten) (None, 12288) 0 * * * # dense\_8 (Dense) (None, 6) 73734 Total params: 73,734 Trainable params: 73,734 Non-trainable params: 0 * * * Test failed Expected value [‘Conv2D’, (None, 64, 64, 8), 392, ‘same’, ‘linear’, ‘GlorotUniform’] does not match the input value: ## [‘Flatten’, (None, 12288), 0] AssertionError Traceback (most recent call last) in 15 [‘Dense’, (None, 6), 390, ‘softmax’]] 16 —\> 17 comparator(summary(conv\_model), output) ~/work/release/W1A2/test\_utils.py in comparator(learner, instructor) 20 “\n\n does not match the input value: \n\n”, 21 colored(f"{a}", “red”)) —\> 22 raise AssertionError(“Error in test”) 23 print(colored(“All tests passed!”, “green”)) 24 AssertionError: Error in test ---
**Author:** ![TMosh](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/tmosh/32/9321_2.png) [@TMosh](https://community.deeplearning.ai/u/TMosh)\ **Post date:** [July 26, 2021, 7:39pm UTC](https://community.deeplearning.ai/t/week1-assignment-2-convolutional-model/23443/2 "2021-07-26T19:39:54Z")
In the Z2 and F layers, you’re passing the wrong data argument. ---
**Author:** ![Afsar\_Khan](https://avatars.discourse-cdn.com/v4/letter/a/f14d63/32.png) [@Afsar\_Khan](https://community.deeplearning.ai/u/Afsar_Khan)\ **Post date:** [July 27, 2021, 9:45am UTC](https://community.deeplearning.ai/t/week1-assignment-2-convolutional-model/23443/3 "2021-07-27T09:45:09Z")
Ok, thanks, it helps a lot.