👉 Check out the blog post and other resources for this video: 🔗 deeplizard.com/learn/video/oDHpqu52soI 👀 Come say hey to us on OUR VLOG: 🔗 ruclips.net/user/deeplizardvlog
Hey, Nice course to follow. Was just trying to run code and got these error "W tensorflow/core/framework/op_kernel.cc:1655] OP_REQUIRES failed at random_op.cc:76 : Resource exhausted: OOM when allocating tensor with shape[25088,4096] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc" BTW: I have NVEDIA GTX1050 (3GB) graphic card Any help will be greatly appreciated.
Hello! Thank you for your excellent explanation! Just curious if you're going to release a video on keras Conv1D operation? I am especially interested in what format should input be. Thanks!
Hello and thanks for this great content..! Can you tell me if there is a way to implement k-fold cross validation using this data-batches format of the dataset you have created . From what I know keras .fit method only provides only 1-fold validation .
HI!, Will try here... I asked same question from your freecoder vids compilation. Is the vgg16 originally a functional model ? I got an error referencing to the line 83. When I check the type of this model it is "tensorflow.python.keras.engine.functional.Functional". The conversion to Sequential didn't work out well. i got this instead: TypeError: 'Functional' object is not subscriptable Please advise... Btw, nice places you been too. I was there too many years ago. :). Thanks!
👉 Check out the blog post and other resources for this video:
🔗 deeplizard.com/learn/video/oDHpqu52soI
👀 Come say hey to us on OUR VLOG:
🔗 ruclips.net/user/deeplizardvlog
Amazing video, clearly explained how Neural Networks can be fine tunned.
Thank you very much for this video! I learnt how to download and set up a pre-trained model for fine-tuning!
Great video and blog. And thanks for including the research paper link in your blog. Interesting.
"hey, I'm maybe from beef lizard" - beautiful transcript beginning!
🤣🤣
Your videos saved me, thank you so much
Btw, hope u had nice days traveling in VietNam
very clear explanation
Hey, Nice course to follow. Was just trying to run code and got these error "W tensorflow/core/framework/op_kernel.cc:1655] OP_REQUIRES failed at random_op.cc:76 : Resource exhausted: OOM when allocating tensor with shape[25088,4096] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc"
BTW: I have NVEDIA GTX1050 (3GB) graphic card
Any help will be greatly appreciated.
I am in love of you
So well explained
Hello! Thank you for your excellent explanation! Just curious if you're going to release a video on keras Conv1D operation? I am especially interested in what format should input be. Thanks!
Hi ma'am
U got a new subscriber
Can i use vgg16 model for " stanford cars dataset". Has around 8000+ train images with 196 classes, Goal is to recognize car model
Why is the input shape of our model is (None, 224, 224, 64) while for VGG it is (None, 224, 224, 3)?
Hello and thanks for this great content..!
Can you tell me if there is a way to implement k-fold cross validation using this data-batches format of the dataset you have created . From what I know keras .fit method only provides only 1-fold validation .
Hello ma'am, would you mind if I ask you from where do you learn the concepts and implementation of deep learning?
HI!, Will try here... I asked same question from your freecoder vids compilation. Is the vgg16 originally a functional model ? I got an error referencing to the line 83. When I check the type of this model it is "tensorflow.python.keras.engine.functional.Functional". The conversion to Sequential didn't work out well.
i got this instead: TypeError: 'Functional' object is not subscriptable
Please advise... Btw, nice places you been too. I was there too many years ago. :). Thanks!
How can we deploy it?
❤️❤️🔥
wow! same top.
+1
what's up ai gangs hhhhh
!!!!!!!!!!!!!!!!
Waste of time🤮