For this week, I decided to spend an entire day on the Udacity course covering basic machine learning using Google Co-lab and TensorFlow in Python.
By doing (almost) the entire course, I learned the ins and outs of coding with TensorFlow in Python, how machine learning works, the nitty gritty on convolutional neural networks, what over-fitting is and how to avoid it using data augmentation, and more. I liked the fact that the course was a mixture of videos and text pages. I did have a little trouble with the raw coding aspect of it, as I have very little experience with Python, although I plan to continue learning.
Overall, it was an enjoyable and enlightening course, and it gave me a much needed introduction to the world of machine learning in TensorFlow.
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