Hey!
MY QUICK UPDATES
- This past month I didn’t have much time for Machine Learning due to my job and some vacations. However, I still made some progress on the Deep Learning Specialization and I released a new video on YouTube (I Took Andrew Ng’s Updated Machine Learning Specialization (2022) – Honest Review).
THOUGHTS, INSIGHTS, AND ADVICE
- I believe the question “Should I do project based learning or learn machine learning theory?” is not the best question. You should do project based learning AND learn the theory. To become a great Machine Learning Engineer or Data Scientist you need to eventually do both. Starting with projects or theory should be based on whichever interests you and is your preferred learning style. It’s actually probably best to balance them together.
RANDOM LEARNINGS, KNOWLEDGE, AND REMINDERS
- A Perceptron (Artificial Neuron) is the smallest unit of a Neural Network. That’s why an Artificial Neural Network is also called a Multi-Layer Perceptron (MLP).
- All types of Neural Networks are comprised of “layers” that pass data between them. The basic Neural Network (Multi-Layer Perceptron, Artificial Neural Network, Standard Neural Network, Vanilla Neural Network) is when the layers have perceptrons that simply feed data forward to the next layer right after it. Convolutional Neural Networks are when the layers perform the convolution operation when feeding the data forward to the next layer. A Recurrent Neural Network is when the layers also feed data forward to other layers that are not right after it.
MY NEW CONTENT
OTHER USEFUL/INTERESTING RESOURCES
- Deeplearning.ai has a lot of great courses that are highly recommended.
Michael Hammer
Read all my Newsletters here: https://michaelphammer.com/newsletter/