Great work bro. Thanks for sharing this.. I have a question. Can you please explain what is the difference between identity block and Conv2D block wrt tf implementation code? Is identity block same as the bottleneck block you created in pytorch?
Its quite simple..I wrote the code beforehand and tested it.. Then I used undo command to delete all the code line by line...and then used the redo command to again make it appear.
Baseblock is not being used, why is that? Doesn't that mean this is not correct?
I guess model was not saved after training completed, right?
yup. it wasn't saved :)
in bottleneck's second conv2d layer, the height and width won't change right? cuz of the formula
((x-k+2p)/s)+1
=( (x - 3 + 2)/1) +1
=x
Yes that's right
what is the baseBlock for? You don't seem to use it.
oh I guess baseBlock and bottleNeck are replaceable.
Thanks for uploading
Hi, is it the same theory to build Resnet101? Where do I need to make changes? Thank you
Great work bro. Thanks for sharing this..
I have a question. Can you please explain what is the difference between identity block and Conv2D block wrt tf implementation code? Is identity block same as the bottleneck block you created in pytorch?
At line 75, shouldn't it be self.inplanes != planes * block.expansion as the condn? I think there is a mistake
Here we're setting the planes value not checking it.
Sorry for the trouble and thanks for the help
I'm happy that you understood the concept 😊
You don't type the line of code, but paste it from somewhere? How do you do that?
Its quite simple..I wrote the code beforehand and tested it.. Then I used undo command to delete all the code line by line...and then used the redo command to again make it appear.
i dont have pip3 installed. Can i replace it with pip and proceed?
You can easily update pip to pip3. There are various tutorials available on the internet. But if you want to stick with pip, you can.
Damn I'm still on week 2. I'll rewatch this later
Sure..you can watch it whenever you want because implementation of resnets is not discussed in the course..best of luck 😊
What does self.dim_change(res) mean?
could you explain this??
@@vigneshvenkataraman8 it calls the self.dim_change function below.
@@Karan-ow4wl thx a lot
Nice!
Thanks
How do we use the trained model for testing or in production mode?
Low volume. Pls increase the volume
I'll make sure the next time
Seriously you have gotta stop coughing.
I guess that problem is resolved in later videos 😉