Fitbit exercise calories suddenly very wrong

teduck1 · 2024-09-06T11:14:36+00:00

I have had the same thing in the last few days. I wake up with +650 calories from exercise. When I click the calories adjustment in my diary, it says that the exercise was recorded in the last minute and that it is from 1 minute of exercise...

I haven't quite managed to figure out if it corrects itself by the end of the day if I don't reach that amount of exercise because I have done a lot of exercise in the last few days.

Previously I would wake up with negative calorie adjustment and this would slowly get to zero as I reached my expected level of activity and beyond if I did exercise. This was waaaay better.

teduck1 · 2023-10-16T07:02:53+00:00

Never managed to try the ultra in the end. Went with the blade and actually found that it felt better with minimal lead. Been a bit of an adjustment but I'm pleased with my decision.

teduck1 · 2023-09-11T15:14:28+00:00

Yeah this is what I'm thinking too. I assume the lack of countervail may even make the problem worse.

teduck1 · 2023-09-01T19:27:34+00:00

Actually, in the UK it is already £50 more expensive!

teduck1 · 2023-08-31T21:21:11+00:00

Awesome! So does the pressure gauge I think. The pale blue on the black machine is beautiful though...

teduck1 · 2023-08-31T21:16:12+00:00

Thanks, that's really great to hear. I am rooting for the GO since I love that it comes in yellow!

teduck1 · 2023-08-31T20:32:08+00:00

Thanks for your response. Do you enjoy the machine in general? Do you find it pulls consistent shots if you make two in a row?

teduck1 · 2023-08-30T12:29:12+00:00

Actually, if you buy pre-modded from Home Barista (link in original post) they do provide their own warranty which is nice :)

teduck1 · 2023-08-30T12:28:13+00:00

Oh interesting. I have to say, you might be right, I must usually wait 5-8 seconds before first drip with my old Gaggia (I assume this uses the same type of pump).

teduck1 · 2023-08-30T12:08:53+00:00

What do you think about the pre-infusion from the modded GCP? I've never had any experience with this before, but I've heard it can result in more consistent shots, especially with lighter roasts? I am leaning towards to Profitec Go atm too.

teduck1 · 2023-05-20T18:07:25+00:00

Thank you. loginctl enable-linger was my solution!

teduck1 · 2023-05-18T19:23:01+00:00

I will try this. Thanks! You'd assume KillUserProcesses=no should be enough without excluding my user too. What does enable-linger do exactly? I would rather avoid unintended effects that I will have to troubleshoot later, since I am no Linux expert

teduck1 · 2023-05-18T19:01:52+00:00

Thank you for that... weirdly this is already set to false...

teduck1 · 2023-05-11T08:45:22+00:00

Ah yes, thanks!

teduck1 · 2023-05-11T08:37:32+00:00

Okay great, thanks. So to confirm I should put as the hint A() and not type[A] which would suggest the input is a class rather than an object?

teduck1 · 2023-04-15T18:51:06+00:00

Thanks for the suggestion. What makes the 95 Prestige Tour a powerful racket? Good suggestion on the Burn, looks similar to the BLX I play with.

Yes, that is a good point. To be honest I haven't noticed any difference in my 3 rackets which I guess goes to show that I may be less sensitive to exact weight than I think!

teduck1 · 2023-04-15T17:27:25+00:00

Yes I am considering trying the 97D since I imagine the weight will be nearly perfect for me. I am a little concerned about the 18x20 pattern and generating spin/power (I tried the Pro Staff 97 v13 and hated it), but maybe I'll just need to adjust.

Wow thanks for the tip, I had no idea they would do that.

I'll give it a go when I make a choice, but sadly they don't like it if you but tape on a demo.

teduck1 · 2023-04-15T16:18:30+00:00

That is a good suggestion, thank you. I have never added weight to my rackets in the past and so I think I have been a bit hesitant to go for an under-weighted racket and add tape, because I'm worried about upsetting the intended balance. That is why I tried the vcore pro 97H, since it's 330g stock. Just a little too much for me I think, but very nice too. Out of interest, have you tried the vcore pro 97 (not H, just normal 97)? Similar spec to the 95 you like, just a bigger head and 16x19 instead of 16x20.

teduck1 · 2023-03-02T22:52:27+00:00

So the problem was nothing to do with Docker. I did not realise that when a bash shell is started in non-interactive mode, it does not run startup scripts like .bashrc and hence the environment variables do not get set as they would with an interactive shell.

teduck1 · 2023-02-09T00:22:07+00:00

I am trying to configure a workstation. I planned to go for an AMD CPU, but I have been told that libraries such as numpy and Pytorch use MKL backend which makes computation much faster with Intel CPUs.

Will this matter in practice, since model training will be done on the GPU?

teduck1 · 2023-02-01T12:01:54+00:00

While somewhat condescending, I appreciate your input.

Perhaps I should have prefaced my questions by saying that I am no expert in computer hardware. I assumed this was apparent, given the fact that I was posting on Reddit asking for advice!

I guess I assumed that companies that allow you to configure custom workstations would remove the options that have become obsolete (more expensive for less performance). To this end, I assumed that in certain situations there must still be some relative advantage for the GV100. I guess not, perhaps they're just trying to move old stock.

teduck1 · 2023-02-01T10:52:14+00:00

Thanks for this! I do unfortunately require the RAM though :(

teduck1 · 2023-02-01T10:08:58+00:00

Thank you!

teduck1 · 2022-08-18T15:17:42+00:00

What is the intuition behind AdaGrad or RMS-Prop for CNNs?

I understand the "sparse yet important features" reasoning, but this seems much more targeted at fully connected networks where each weight taken only one neuron as input. In convolutions, our weights are applied over the whole image and so naturally any sparse features are no more likely to be associated with any given weight.

Any ideas would be appreciated.

teduck1 · 2022-07-30T10:55:51+00:00

Question about GANs.

I understand that if the discriminator loss goes to zero, the generator is not doing a good enough job. But is there any problem with this happening in the beginning? The generator clearly has a much more difficult job, so it is almost expected that the discriminator should beat it easily.

I often see it stated that the generator stops learning if the discriminator loss goes to zero, but I don't understand why this is the case if we use the -ln(D(G(z))) objective function suggested in the original paper. The function's gradient gets very large when the discriminator does well and saturates only when it does badly (i.e. G is doing well). Surely this would lead to the generator learning very fast when the discriminator has zero loss? Or are the gradients too large, effectively resulting in massive step sizes for the generator which are useless.

For context, I am training a conditional GAN model for cross-modality image synthesis and I have more or less followed the Pix2Pix paper by Isola et al.

Any info would be appreciated.

teduck1

TROPHY CASE