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Part 1 (2019)
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Hi Guys

I just finished Lesson 1. Using the techniques taught in the lesson 1, I wrote 4 medium articles:

  1. Devanagari Handwritten Digits Classifier - In this challenge, I got an accuracy of 98.99%

  2. Malaria Blood Cell Images - In this challenge, I got an accuracy of 97.3%

  3. Pneumonia Chest X-ray images - In this challenge, I got an accuracy of 95.8%

  4. 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.

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