#Python | Non-linear Connectivity Topology | #ResNet #DeepLearning #Tensorflow #NeuralNetworks смотреть онлайн

RJ Studio’s 99th video is building a "toy" ResNet architecture, which has a Non-linear Connectivity Topology. ✨
◕ ◡ ◕


A lot of explanation in this video is from https://www.tensorflow.org/guide/keras/functional#a_toy_resnet_model


When a NON-linear deep learning architecture is needed, the Keras Sequential API canNOT help you.
You need to use the Keras Functional API. Make sure you understand the architecture diagram I show you in the video and understand WHERE/HOW NONlinearity kicks in :)

My "toy" ResNet model is trained with CIFAR10 dataset. To read more about the dataset, please check out:
https://www.cs.toronto.edu/~kriz/cifar.html


Please check my GitHub for code: https://github.com/rjlee13/RJStudio_GH

Python logo in the thumbnail is from https://www.python.org/community/logos/

Tensorflow logo in the thumbnail is from https://www.tensorflow.org/extras/tensorflow_brand_guidelines.pdf


☆ Video Chapters ☆
0:00 Intro
0:33 CIFAR10 dataset
1:46 Visualize CIFAR10 Image
2:14 Preprocess CIFAR10
3:05 ResNet Architecture
4:14 keras.Model()
4:46 Compile & Fit
5:23 Visualize Accuracy
6:08 Outro


I am playing the background music. ^‿^
Check out my Music ? YouTube channel:
https://www.youtube.com/c/MusiCALUM/videos


Hope my video taught you something new!
And feel free to correct me if I made some mistakes in the comments :)


이번 비디오는 간단한 ResNet 모델을 Functional API로 만들어 보았습니다. ≧◡≦
케라스 Sequential API로는 만들 수 없는 모델이라서, 케라스 Functional API를 사용하였습니다.
CIFAR10 이라는 유명한 이미지 데이터로 ResNet 모델을 학습시켰습니다.
유익한 정보이길 바랄게요~ 감사합니다.


“In teaching others, we teach ourselves.”

Instagram: https://www.instagram.com/musicalum_rj/
LinkedIn: https://www.linkedin.com/in/rj-lee/