Deep Learning with PyTorch - Course Conclusion
Welcome to deeplizard. If you've found this page, you probably know by now that my name is Chris. I want to say congratulations! You've made it to the last lesson of this course.
It's been a long journey through all of this course material. We've learned so much regarding tensors, data and processing, PyTorch design, neural networks and training all the way to experimentation.
With the testing framework set up to test multiple network architectures, you are now well positioned to continue experimenting and comparing in an organized and speedy way.
To continue on your deep learning journey, you can continue forward into more advanced material with deeplizard or go back and sharpen up the basics.
As you may know, this course had some philosophical sugar sprinkled throughout, so i'll leave you with an idea that has a philosophical flavor that you can carry with you move forward in your life.
The first video lesson for this course was uploaded to YouTube on September 3, 2018. The work for this course started six months prior to the first upload, just around March 2018. This video lesson is being uploaded in March of 2022, nearly four years later. With that being said, my advice to you is as follows:
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