# Week 1: Convolution model application **URL:** \ **Category:** Convolutional Neural Networks\ **Tags:** coursera-platform\ **Created:** [September 17, 2021, 10:02am UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708 "2021-09-17T10:02:49Z")\ **Posts on this page:** 8\ **Page:** 1
**Author:** ![starboy](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/starboy/32/5499_2.png) [@starboy](https://community.deeplearning.ai/u/starboy)\ **Post date:** [September 17, 2021, 10:02am UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708/1 "2021-09-17T10:02:49Z")
![14](https://global.discourse-cdn.com/dlai/original/2X/1/1070d0461b1ada853c647b674b05255fdd6d24aa.jpeg) ![13](https://global.discourse-cdn.com/dlai/original/2X/2/21f43e0501d56a198d1fb6cac97cfa2d6635e780.jpeg) As you can see the yellow highlighted (input\_img), I wrote it by mistake. It shows the error ‘Tensor’ object is not callable. Let say suppose I need to multiply (input\_img) to any of Z1,A1,P1,Z2,A2,P2,F later maybe it gives a better result. But tensor flow doesn’t give us that much power?why? If it is possible how can we do it? Please explain related topics to the questions as well. Thank you ! ---
**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:** [September 18, 2021, 11:10pm UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708/2 "2021-09-18T23:10:45Z")
You already used input\_img on the first Conv2D layer. You do not need to apply it again later. ---
**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:** [September 18, 2021, 11:13pm UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708/3 "2021-09-18T23:13:01Z")
And you can’t apply two inputs by just separating them by sets of parentheses. ---
**Author:** ![starboy](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/starboy/32/5499_2.png) [@starboy](https://community.deeplearning.ai/u/starboy)\ **Post date:** [September 21, 2021, 6:30am UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708/4 "2021-09-21T06:30:02Z")
But if we want to can we apply it. ---
**Author:** ![starboy](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/starboy/32/5499_2.png) [@starboy](https://community.deeplearning.ai/u/starboy)\ **Post date:** [September 21, 2021, 6:30am UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708/5 "2021-09-21T06:30:31Z")
I tried removing (P1) It still gave the error. ---
**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:** [September 22, 2021, 3:02pm UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708/6 "2021-09-22T15:02:43Z")
Remove input\_img, not P1. ---
**Author:** ![starboy](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/starboy/32/5499_2.png) [@starboy](https://community.deeplearning.ai/u/starboy)\ **Post date:** [September 23, 2021, 5:10am UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708/7 "2021-09-23T05:10:55Z")
I have already solved this question. I wanted to ask why don’t tf allow us to multiply variables again? what if we wanted to test them. not input\_image let say A1,P1 etc… ---
**Author:** ![Naushad](https://avatars.discourse-cdn.com/v4/letter/n/eada6e/32.png) [@Naushad](https://community.deeplearning.ai/u/Naushad)\ **Post date:** [June 21, 2022, 7:42am UTC](https://community.deeplearning.ai/t/week-1-convolution-model-application/38708/8 "2022-06-21T07:42:07Z")
You do not need to apply it again as you already used input\_img on the first Conv2D layer.