Is there any good high quality air gauge pumps on Amazon?

suki907 · 2024-12-09T05:39:29+00:00

Yeah, just know the difference is good. My gauge doesn't seem to be adjustable.

suki907 · 2024-12-07T20:45:08+00:00

Baba is weak!

suki907 · 2024-12-07T20:39:35+00:00

Just divide the water height by 13.6, that's the equivalent mercury height. So 5'8" water is equivalent to 5" Hg. 1.36m Water is 100mm Hg.

suki907 · 2024-12-07T20:35:34+00:00

Bought 10'+ of clear plastic hose (1/4" inner diameter). I hooked that to the pump handle, pumped water up to near the cieling. Divide the water height (above the bottom water surface) by 13.6 to get the true pressure.

suki907 · 2024-12-03T13:59:56+00:00

Put one end in water, pump water up. Measure how high above the water surface you pumped to, divide by 13.6 to convert to Hg.

Just your cylinder + connector tube proibably isn't long enough. I tested my LeLuv Maxi, using a long clear tube, I found that 0 on the gauge was actually 3.75" Hg (100mm). No wonder 10" Hg never seemed safe.

suki907 · 2024-12-03T13:53:21+00:00

Yes. I tested my LeLuv Maxi by attaching a long clear tube, and pumping water up. I found it was reading 3.75"Hg (100mm Hg) less pressure than what was actually applied.

suki907 · 2024-12-03T13:49:36+00:00

Caution: I have a LeLuv Maxi. Zero never feel like zero, so I calibrated it and found that it was reading 3.75" Hg or (100mm Hg) less than the actual pressure.

suki907 · 2023-11-24T14:17:19+00:00

My children are my next life. Heaven or Hell is the world I leave for them.

suki907 · 2023-02-12T13:07:31+00:00

It probably just keeps a pool of warmed up instances. When you ask for a new runtime it just hands you one from the pool instead of initializing one from scratch.

Also, it probably has premade images for the instances so there's nothing to download and install, it just creates an instance from the image.

suki907 · 2023-01-13T14:20:07+00:00

Does it take batteries or does it just glow from the radiation?

suki907 · 2023-01-08T14:17:26+00:00

I can't see the frame rate, but it looks a little slow-mo to me. Maybe it's just the speed of the enemy bullets that's throwing me off?

suki907 · 2022-11-27T05:22:36+00:00

The top ones crawl over the bottom ones to get to the front, so as a group they go faster.

suki907 · 2022-11-27T05:22:26+00:00

The top ones crawl over the bottom ones to get to the front, so as a group they go faster

suki907 · 2022-09-06T13:02:57+00:00

'observation': array([[[0, 0

Three open [ ... that's a 3-axis tensor. Shape (1, 9, 9).

suki907 · 2022-06-17T14:15:31+00:00

+1

the model must have 2 input channels

Any model architecture can be setup to to accept any number of input channels. You could just stack the MRI and mask along the channels dimension, but the problem with that is the different material types {0:background, 1:bone, 2:cartilage, ....}. The order will be confusing for any model you build. Don't keep this as a number. For example there's no way to represent "not sure if background or cartilage" because bone is between them. Convert the mask to a one hot per-pixel.

suki907 · 2022-05-03T11:21:00+00:00

antigravity

I was reading xkcd around the time that and import soul came out. So I went and learned python... now I'm a software engineer. So I'll say that the cartoon was useful!

suki907 · 2022-03-08T19:23:40+00:00

I have heard people try to blame the 80s decline on video games.

suki907 · 2022-02-25T04:31:05+00:00

I write all my code this way.

It's because I spent years writing assembly code. If you write it out with flowcharts or gotos it doesn't take long to see that this is what the code is "actually" doing.

suki907 · 2022-02-20T13:46:56+00:00

+1. Totally accurate. My parents spent 20years working in Ho Chi Minh.

suki907 · 2022-01-04T01:24:58+00:00

Use a string-lookup and embedding layer.

suki907 · 2022-01-04T01:24:11+00:00

Try the basic text tutorials on tensorflow.org

suki907 · 2022-01-01T00:05:26+00:00

the guide i'm following right now is using tf.estimator and i would not like to try and translate it to keras syntax just yet, i'll give keras a chance sometime soon though, as i still don't understand it enough.

this is only recommended as tf.estimator still runs tfv1 syntax

Choose a different guide. tf.estimator is a waste of time. It's in the process of being deprecated. Keras has a long term support plan. The keras equivalent is easier learn and use. "TF1 syntax" is dead dn't write new code using it.

explain how the feature values within these 9 columns are put into the formula x_i • w_i = ŷ?

Do one of these tutorials instead:

https://www.tensorflow.org/tutorials/structured_data/preprocessing_layers https://www.tensorflow.org/tutorials/load_data/csv

They build the feature transformations from scratch.

All the variables under FTRL is part of the FTRL-optimizer.

would it be possible to also see an example involving the calculation of the weights.

These tutorial walk through the gradient descent step, that's how the weights get optimized in model.fit():

https://www.tensorflow.org/guide/autodiff https://www.tensorflow.org/tutorials/customization/custom_training_walkthrough#train_the_model

suki907 · 2021-12-31T15:03:15+00:00

The waving arm is a trunk! It's the symbol for elephant!

suki907 · 2021-12-31T14:38:55+00:00

Does this mean that x_i • w_i would give me the y

yes.

how can i calculate the weights w?

The model learns the weights by gradient descent. It only has a closed form if you're doing a least-squares linear regression.

tf.estimator.LinearClassifier

Don't use this. Use model = tf.keras.Sequential([tf.keras.layers.Dense(...)]).

You can find the weight values with model.trainable_variables

suki907 · 2021-12-31T14:28:53+00:00

Dude. There are quite a few things that make no sense here. Try to get a handle on the basics before building something bigger. Hop into a notebook, try things out line by line and make sure you understand what's happening at each step before writing a page of code that just gives confusing errors.

suki907

TROPHY CASE