InTDS ArchivebyBradley Stephen ShawLet’s Do: Neural NetworksA blow-by-blow account of building a neural network in PyTorch to predict insurance claims frequencyDec 20, 2022Dec 20, 2022
Bradley Stephen ShawLet’s Learn: Neural Nets #6 — Backpropagation (or how Neural Networks learn)The sixth instalment in my journey through neural nets, this time focusing on understanding — or trying to — how neural networks learn.Jul 2, 2022Jul 2, 2022
Bradley Stephen ShawLet’s Learn: Neural Nets #5— LayersThe fifth instalment in my journey through neural nets, this time focusing on arranging nodes into layers.Mar 23, 2022Mar 23, 2022
InPython in Plain EnglishbyBradley Stephen ShawLet’s Learn: Neural Nets #4 — Weights and BiasesThe fourth instalment in my journey through neural nets, this time about weights and biases, and their role in these models.Feb 23, 2022Feb 23, 2022
InTowards AIbyBradley Stephen ShawLet’s Learn: Neural Nets #3 — Activation FunctionsThe third instalment in my journey through neural nets, this time focusing on activation functions.Feb 5, 2022Feb 5, 2022
InTowards AIbyBradley Stephen ShawLet’s Learn: Neural Nets #2 — NodesThe second instalment in my journey through neural nets.Jan 28, 2022Jan 28, 2022
Bradley Stephen ShawLet’s Learn: Neural Nets #1A step-by-step chronicle of me learning about neural nets.Jan 16, 2022Jan 16, 2022