parmesan
Joined 9 years ago
Joined 9 years ago
I've since then re-arranged my day to at least walk 5k-8k steps per day. I've found that the step count doesn't matter much, I need at least 30min high intensity workout every day to not go numb in my mind and body. Luckily, I have two daughters, so I'm forced to do more excersices than I did when I worked from outside of my home.
I've worked full time remote in mobile and machine learning the last 3 years, but this year is special. This year has required me to set my own motivations and goals aside to really be there for my 18 months old daughter, and for my wife. At first I tried to resist and focus on both my family and my career, but I found it hard to be my best self for them.
I took a step back from the stress and greed. I learned that I need to keep my career out of my head when I'm caring for my daughter. I'm more motivated than ever to do some cool projects in 2019. And I've learned that I need to maintain a mental balance between work/passion/me and my family.
Towards new beginnings, and growing as a person.. :)
I personally haven't seen any NNs being used in browser apps, but there are plenty of existing mobile apps that has NNs to classify audio/video/etc directly on the device.
Kapt does bump the clean build time to about 2min, incremental builds take between 10-60s - although actually launching the app on an emulator/device adds another 20s.
The cons of Dagger2 that I've experienced since it's launch are; The documentation and support is useless. You're on your own of you don't use a 3rd party sample project as a template. No one understands scopes and subscopes, subcomponents etc. The new Android dagger api is arcane and weird, no one wants to use it.
The Dagger2 team should (if they aren't already) create a Kotlin extension for it, I believe there are some syntactic optimizations to be offered.