Day 16 of 100 Days of AI: Understanding Activation Functions

Transcript 131 words · about 1 min to read

Auto-generated captions from YouTube, not hand-corrected, so names and technical terms may be imperfect. The video is authoritative.

all right day 16 of 100 days of AI we're going to try to avoid maths in this series but if you want the maths it's in the description of this video activation functions the neural network is inputs hidden layer and then outputs from a input perspective think of you know I'm smelling a scent my neurons are going to fire and then there's a output from a human my perspective activation functions look to achieve the same outcomes but with math I input a bunch of cat videos

I run that through some functions in the hidden layer some activation functions and then I get activate or outputs funny not funny mean not mean those are the weights that I'm creating stay tuned for another 84 days of AI

4:41 Your GPUs Aren't Slow. Your Data Path Is

4:23 Where HPE Adds Value to NVIDIA CPUs

4:03 Not All NVIDIA AI Factories Are the Same

10:28 Borrow the Vendor's Plumbing, Not Its Judgment | RAG on AWS + NVIDIA DGX Spark

Day 16 of 100 Days of AI: Understanding Activation Functions

More CTO Dose