Hey buddies,
Today I take the Deep Learning specialization course
on Coursera , provided by deeplearning.ai .
This is a paid course but thanks to Coursera to add the option
'audit the course' for those who can't afford to pay for their
learnings. I'm also a student fall under this group.
Before take this I've completed the
Machine Learning course provided by
Stanford University and a great teacher called
Andrew NG. After Learning some ML basic I got so excited that leads
me to take the Deep Learning course, Also recommended by a mentor met in
Developer Student Club.
Let's talk a bit why I took this course :
- I heard that DL(Deep Learning) can Transfer Style
- It is very useful in Image Recognition
- It used to make Autonomous Driving System
- It is used in Predicting Sequence or Sequence Modelling
- Using Sequence Modelling we can built Translator, Speech Recognition
But I mainly influenced by the Transfer Style category.
There are 5 courses in this specialization namely :
- Neural Networks and Deep Learning
- Improving Deep Neural Networks
- How to Structure ML Projects
- Convolutional Neural Networks
- Sequence Models
Now I took the 1st one and hopefully I'll publish my everyday
learnings through my posts.
Till Then, Happy coding and keep tuning
Also StayHome StaySafe
Feel free to give feedbacks and comments
Very sorry for not giving any picture(there is an internal problem)
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