Hello :) Today is Day 26!
A quick summary of today:
- started DeepLearning.AI’s specialization course and covered NNs and DL
The specialization covers 5 courses
I decided to learn a bit more about deep learning.
To summarize the contents, it was about making neural networks which includes forward pass, back pass, and activation function calculation.
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Learned about sigmoid (+wrote the code)
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sigmoid derivative
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how forward and back prop work
This was a bit difficult, but it’s very fun. The final programming assignment of the 1st course is to create a neural network model according to the picture above from start to finish! So I will refer to those pics tomorrow when I attempt it.
Fundamental knowledge is key!
That is all for today!
See you tomorrow :)