Experimenting with machine learning models can get messy
We need to be organized and have a process to keep track of all the different architectures and parameters we set when experimenting and training our models. Vertex AI Experiments helps you easily track, compare and search within your experiments.
📓 Notebook: [ Ссылка ]
📖 Article:
[ Ссылка ]
If you enjoyed this video, please subscribe to the channel ❤️
🎉 Subscribe for Article and Video Updates!
[ Ссылка ]
[ Ссылка ]
You can find me here:
LinkedIn: [ Ссылка ]
Twitter: [ Ссылка ]
If you or your company is looking for advice on the cloud or ML, check out the company I work for.
[ Ссылка ]
We offer consulting, workshops, and training at zero cost. Imagine an extension for your team without additional costs.
#vertexai #googlecloud #machinelearning #mlengineer #doit
▬ My current recording equipment ▬▬▬▬▬▬▬▬
► Camera for recording and streaming in 4K [ Ссылка ]
► Lens with nice background blur [ Ссылка ]
► Connect the camera to PC 4K [ Ссылка ]
► Light [ Ссылка ]
► Most flexible way to mount your camera + mic [ Ссылка ]
► Microphone (I love it) [ Ссылка ]
► Audio Interface [ Ссылка ]
Support my channel if you buy with those links on Amazon
▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:47 Auth and SDK
01:34 Experiment
02:25 Runs
02:59 Parameters
03:48 Metrics
04:11 Summary Metrics
04:56 Time Series Metrics
06:42 Classification Metrics
07:36 Artifacts
10:43 Visualization
12:23 Pricing
13:16 Bye
