Literature

https://web.stanford.edu/~jurafsky/slp3/A.pdf Towards Data Science: 3 Things You Need To Know Before You Train-Test Split train-final-machine-learning-model hands-on-tensorflow-2-0-multi-label-classifications-with-mlp stackoverflow - how-tensorflow-keras-go-from-one-hot-encoded-outputs-to-class-predictions-for stackoverflow - is-this-one-hot-encoding-in-tensorflow-fast-or-flawed-for-any-reason #py

AI CW

MatLab - Multilayer Networks #matlab mlxtend - Ensemble Classifier

Sebastian Ruder - An overview of gradient descent optimization algorithms

Paperspace - Intro to optimization in deep learning: Momentum, RMSProp and Adam https://machinelearningmastery.com/how-to-stop-training-deep-neural-networks-at-the-right-time-using-early-stopping/

Optimisers

• trainscg
  • Scaled conjugate gradient
• trainlm
  • Levenberg-Marquardt
• trainrp
  • Resilient backprop