Neural Network From Scratch In Python

Neural Network From Scratch In Python

Dataquest

1 год назад

35,920 Просмотров

Ссылки и html тэги не поддерживаются


Комментарии:

agus hendra
agus hendra - 15.11.2023 12:37

Thank you for your thoroughly explanation, I have a question, how to decide which matrix to transpose during backpropagation?

Ответить
Pard Tengah
Pard Tengah - 07.11.2023 02:44

could you show me the link to get the dataset you used please...

Ответить
Uday Wawage
Uday Wawage - 09.10.2023 10:30

getting an issue with installing the tsensor library ....not available in the anaconda notebook...what to do? @vikasparchuri

Ответить
The Chosen
The Chosen - 19.09.2023 23:13

Good job bro, JESUS IS COMING BACK VERY SOON; WATCH AND PREPARE

Ответить
Brijesh Amarnath
Brijesh Amarnath - 15.07.2023 07:26

I'm also having the problem with ModuleNotFoundError: No module named 'csv_data'
at the very beginning

Ответить
ph ss
ph ss - 20.06.2023 10:20

Great content as usual!

Ответить
BENDENBANA
BENDENBANA - 08.05.2023 15:50

where bias came from? 11

Ответить
silja george
silja george - 29.04.2023 00:56

Does this code work if there is no hidden layer? Only an input and output layer?

Ответить
Syed Muqtasid ali bscs043
Syed Muqtasid ali bscs043 - 25.04.2023 11:19

please i want to download the dataset that you are using in this code. kindly share link of this dataset thanks you

Ответить
Jack Aubrey
Jack Aubrey - 24.04.2023 17:30

Many thanks for this very comprehensive course, but I'm having a problem - when I run the program I get the following output:

Epoch: 0 Train MSE: nan Valid MSE: nan
Epoch: 1 Train MSE: nan Valid MSE: nan
Epoch: 2 Train MSE: nan Valid MSE: nan

(Truncated example).
Printing 'loss' and 'epoch_loss' seperately, the following is output (after approx 4500 lines of numeric output):

epoch_loss: 4789.425964748963
loss: [[-69.19245634]
[-62.18411289]
[ nan]
[ nan]
[ nan]
[-63.21175768]
[-63.18508556]
[-62.17785529]]
epoch_loss: nan
loss: [[nan]
[nan]

Running both my own code from following this video plus your code from Github, same results. Any ideas?

Ответить
SpokenEnglish-2030
SpokenEnglish-2030 - 01.02.2023 23:26

You are a fantastic teacher! Subscribing. Love your pace and explanation of what and why you are doing something.

Ответить
Funky Bear
Funky Bear - 31.01.2023 08:57

this videos have so much value! Thank you!!

Ответить
Cade Kennedy
Cade Kennedy - 30.01.2023 21:01

beautiful video Vik! starting my term project this week and NN are a main method i’ll be using! thank you!

Ответить
Максим Каленков
Максим Каленков - 30.01.2023 17:45

Hi Vik!

Please help with football video information.

Can you please tell me how to start predicting future matches? I prepared the schedule for next week and added it to the "matches.csv" file

In the data, I have moving averages for the following data:
"xg", "xga", "gls", "sh", "sot", "g/sh", "g/sot", "dist", "fk", "pk", "pkatt", "npxg" ", "npxg/sh".

How can I run prediction now?

Thanks in advance for your reply.

P.S. I am writing through google translator, I hope you understand what I mean.

Ответить