SKILLSHARE Modern Deep Convolutional Neural Networks with PyTorch
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Category: Tutorial
Dear friend, welcome to the course “Modern Deep Convolutional Neural Networks with PyTorch”! In this course, you will learn:
What are convolutional neural networks and why do people need them
How to efficiently train them
What is the best way to regularize and speed-up training of neural networks
How we can improve the prediction quality
Warmly welcome!
In the class project, I ask you to fill the Jupyther notebook. Your task will be to classify images from CIFAR-10 dataset using PyTorch. You may use whatever you want:
Convolutions
Max Pooling
Batch Normalization
Instance Normalization
DropOut
…
You can start with the notebook I provided. Try to use all your imagination.
I will share with you my solution, that achieved 56% accuracy. However, you can improve! Set the goal to 60% accuracy.
IT IS NONTHELES USEFFULL TU LOK AT “YOUR PROJECT” AS TERE
ARE OFTEN INFOS OR LINKS TU TRAINING ASSETS BUUT MAY THAT
IS TOOO MUUCH EFORT FUR SOOME (NOO ACOUNT NEDEED!!)
WEE ASUMME NO LIIABILLITY FUR A WROONG SPELING
COZ WEE ARRE A NON (iL)LiTERATE GRUP!!
TANNKS TU THE LITERATE ASKII FRIIEND!!
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