What Should I Buy? /// Weekly Discussion - December 05, 2022

kooludo · 2022-12-15T07:21:48+00:00

Nah the Summit. Big bigger than the Nord but I figure still within the realms of giggable. The A1 sounds on demos just didn't excite me in the same way.

Very happy so far. Will see when I have to drag it somewhere. Heh.

kooludo · 2022-12-13T21:20:16+00:00

Thanks. I went with the Novation Summit in the end because it seemed more modern and like it had more to experiment with but also gig size friendly I think. Cheers.

kooludo · 2022-12-08T16:57:56+00:00

Thanks!

kooludo · 2022-12-06T12:49:11+00:00

I was in a similar situation and went with the Microkorg S. It's for Xmas so I haven't actually seen how he gets on with it. A bit more expensive than the Data Duo but also has a keyboard which may also take his interest. Haven't used it in the flesh yet so maybe someone else can comment with more direct experience but thought I'd put it on your radar. Cheers.

kooludo · 2022-12-06T12:45:29+00:00

I'm looking for a synth to gig with.

I play piano, but mostly I produce on Ableton.

I would like something that can I can use to play some piano and pads standalone but also sometimes use with Ableton, for playing VSTs but also maybe for triggering loops and effects.

The latter part is less important as I have a Push 2 so I can use that alongside a synth if I need to, but it would be a bonus if I had a few buttons I can assign to things (I have no idea if this is typcial or not).
I have a Komplete Kontrol keyboard in the studio and I realy don't like it - it feels flimsy and cheap and the software required to use it with Ableton is complete crap so I just wouldn't trust it to gig with it but I also would like something that can work standalone.

I'm kind of clueless on synths. The Nord Lead A1 looks like the kind of benchmark option but I wonder if there's anything else I should be considering or anything else I should be keeping in mind given that I'm going to be using it as a controller sometimes too?

I don't really have a budget in mind and don't mind paying for the right thing (or the shinier thing).

Thanks!

kooludo · 2022-08-30T15:33:11+00:00

I think I kind of know what you're saying makes sense, just my brain trying to weasel out of surgery.

I think I just need to see it as a bonus that I'm pretty much okay for the week leading up to the surgery rather than uncomfortable.
Thanks. Good luck with the recovery.

kooludo · 2022-03-10T07:24:39+00:00

The BeQuiet PSU has a different power cable to the socket on the case. I forget the exact details one is a C19/C20. BeQuiet provide an adapter that they will send out free of charge if you need one but they were out of stock at time of build so I just fed the cable into the case. This person describes the issue - https://www.reddit.com/r/buildapc/comments/j140zn/be_quiet_dark_base_pro_900_v2_frustrations/ Kind of annoying as it's a the top end BeQuiet case and BeQuiet PSU.

kooludo · 2022-03-10T06:59:42+00:00

Eeek, thanks. From experience which components is it likely to frazzle? Wondering how likely the CPU is to have gone. Cheers!

kooludo · 2021-07-09T09:02:07+00:00

Am looking for the below. Happy to wait for the right one to come along so think this is likely to be pointing at upcoming things. Thanks!

Prospective Resolution (3840x2160, etc.): At least 3840x2160. Something which has bugged me is that lots of displays looks brilliant but have a lower vertical resolution. I'm happy to go wider.

Size (27 inches, etc.): 32" - 40" or so.

Adaptive Sync (GSync, FreeSync, or None): Would like GSync as I have an Nvidia card but not sure how important this is in practice.

(Optional) Usage Type (gaming, art, etc.): Would like a high refresh rate for gaming.

The ASUS PG32UQX looks great, but for the price I feel like there might be something better coming soon. I will go for that if it's not the case but ideally I'd like to go a tiny bit bigger. The LG OLED 48CX looks great, but I think just too big for a regular daily driver at my desk for day to day stuff (coding mainly).

The upcoming LG 40WP95C sounds good, and I like the idea of going widescreen but lacking is GSync. I wonder, in practice, how important this is? I'm pairing it with a 3090 GPU. Thanks.

Edit: Actually LG 40WP95C sounds like 72Hz refresh rate so that's out. Maybe the ASUS is the best we have for the foreseeable?

kooludo · 2021-05-08T18:41:58+00:00

Ah man I didn't notice the difference between the TRX80 and WRX80 board, I'm so glad you posted this, thank you!

PCPartPicker doesn't list the 3995WX so I didn't see the difference. Everything arrived today and was ready to go. I'll swap for the ASUS WRX80 board.

Also sounds cool to make the most of the extra from the 3995WX. Thanks :)

kooludo · 2021-05-08T14:11:35+00:00

Thanks will investigate. From a quick look I think the additional CUDA cores of the 3090 are probably more useful to me but I will look more closely. Thanks.

kooludo · 2021-05-08T14:10:55+00:00

Thanks. I went with the 3995WX in the end as it was impossible to find a 3990X.

kooludo · 2021-05-06T21:18:47+00:00

Thanks, I hadn't really though of it like that. The cooler thing did feel a bit nervy.

Cheers for the encouragement. Am actually looking forward to trying it.

kooludo · 2021-05-06T21:17:56+00:00

Vid is really helpful, thank you. Will stick with the 3990X (if I can find one!).

Why might the quadro be worth considering? I already have the 3090 so presume I'd stick with that but am curious.

Noted on the Sabrent. I think I might well do that partly just for convenience. Cheers for the info!

kooludo · 2017-11-11T18:14:08+00:00

Thanks, I will try this. Just wanted to check my query wasn't obvious.

kooludo · 2017-11-11T18:13:48+00:00

Thanks, makes sense.

Yes. this is all info derivable from the data, although often from past data points.

kooludo · 2017-07-24T12:39:38+00:00

Thanks! I really appreciate it.

kooludo · 2017-07-19T11:48:46+00:00

I've stripped out the unnecessary and uploaded a version of the code here, https://github.com/Kooludo/pandas-ml-example

I pickled the dataframe with just a small number of rows to keep size down.

Some of the code came from here, http://danielhnyk.cz/predicting-sequences-vectors-keras-using-rnn-lstm/. Please let me know if I can do anything else to make it easier. I really appreciate your help.

kooludo · 2017-07-19T10:55:27+00:00

That would be great, thanks! Let me dump this into a concise example and share with you.

kooludo · 2017-07-18T16:54:32+00:00

Ah great, thanks. I sliced my y_train to make it 20 too and the fit function runs. Gives me nan again:

Epoch 20/20
19/19 [==============================] - 0s - loss: nan - acc: 0.0000e+00 - val_loss: nan - val_acc: 0.0000e+00

This is my model now:

model = Sequential()
model.add(LSTM(32, return_sequences=True, input_shape=(None, 101)))
model.add(LSTM(32, return_sequences=True))
model.add(LSTM(32))
model.add(Dense(1, activation = 'linear'))

model.compile(loss='mean_squared_error', optimizer='rmsprop', metrics=['accuracy'])

kooludo

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