Hi Guys
I just finished Lesson 1. Using the techniques taught in the lesson 1, I wrote 4 medium articles:
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Devanagari Handwritten Digits Classifier - In this challenge, I got an accuracy of 98.99%
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Malaria Blood Cell Images - In this challenge, I got an accuracy of 97.3%
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Pneumonia Chest X-ray images - In this challenge, I got an accuracy of 95.8%
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Histopathological Cancer Images - In this challenge, I got an accuracy of 98.12%
Comments and feedback shall be most welcome and appreciated.
I am simply amazed by mainly two things:
a. In few lines of codes and short span of training time, the level of accuracy is mind-boggling. Never knew that Deep Learning could be so much easier to implement on real-world challenges. A big thanks to Jeremy and Rachel for this wonderful course.
b. I used in all above different challenges same CNN architecture ResNet50 and just blown away by the fact that a model trained on a completely different dataset (ImageNet) is so accurate in classifying different types of unseen images.
Really looking forward to Lesson 2 now.