@juiceyeon Yeah, you can tell by that ring in her middle finger. Sheโs been wearing that for some time now. Whoever the guy is, he is a lucky one ๐
Neural networks train by constructing a computational graph in the forward pass, chaining basic operations such as x ร y ร z into composite functions of the inputs.
Derivatives of the output with respect to every input are then obtained in the backward pass by applying the chain rule at each node, where local gradients multiply: โf/โy = โf/โ(x ร y) ร โ(x ร y)/โy and โโz = โโy ยท โแตงz, with intermediate values stored along the graph.
This process updates the parameters of convolutional networks that classify medical scans to flag early-stage tumors in hospital imaging systems.
Four equations link electric charges, currents and fields into classical electromagnetism.
โฏ๐ยท๐งฬ dS = q/ฮตโ
โฏ๐ยท๐งฬ dS = 0
โฎ๐ยทdl = ฮผโ(i + ฮตโ dฮฆ_E/dt)
โฎ๐ยทdl = โdฮฆ_B/dt
โยท๐ = ฯ/ฮตโโโยท๐ = 0
โร๐ = ฮผโ(๐ + ฮตโ โ๐/โt)โโร๐ = โโ๐/โt
Transformers step voltage up or down across power grids by inducing emf from changing magnetic flux.
Introduction to Machine Learning (Tรผbingen)
Introduction to Machine Learning The course serves as a basic introduction to machine learning and covers key concepts /Untitled.png)