Week 3

What I pre-planned

• atman : sine wave regression improvement
  • implement network config generation script
  • get out of stuck local minima

What new did I learn

• understood how the architecture affects the output function
• matplotlib is slow for multiprocessor plotting, lots of errors so shifted to pyqt6
• if I seed some good weights and biases with added noise then training is much faster
• multitrain batches of children like genetic algorithms

Where/How did I implement it

• simpler networks with tanh activation works best for sine wave
• pyqt6 is overkill but made code a lot faster to run
• got to 45% accuracy with 15 generations of 10 children each

Any memorable moments of the week

• broke my toenail while playing football
• played some really good badminton