![JOSHUA TALKS](/img/default-banner.jpg)
- 110
- 287 504
JOSHUA TALKS
India
เข้าร่วมเมื่อ 23 พ.ค. 2020
EDUCATION:
Joshua Talks is a channel mainly intended to help the Computer Science Aspirants who can learn various sorts of concepts related to the world of Computers.
The aspirant can have the flavor of English and Telugu languages for all the concepts that we discuss.
The main motivation is to balance the Students Hardworking capability with the Smartness.
ENTERTAINMENT:
Also, a blend of entertainment will give you relaxation from the hectic everyday busy schedules.
Joshua Talks is a channel mainly intended to help the Computer Science Aspirants who can learn various sorts of concepts related to the world of Computers.
The aspirant can have the flavor of English and Telugu languages for all the concepts that we discuss.
The main motivation is to balance the Students Hardworking capability with the Smartness.
ENTERTAINMENT:
Also, a blend of entertainment will give you relaxation from the hectic everyday busy schedules.
Beautiful song by singer prasad...most addicting voice.
Beautiful song by singer prasad...most addicting voice.
มุมมอง: 204
วีดีโอ
IN TESTING TIMES
มุมมอง 8133 ปีที่แล้ว
IN TESTING TIMES... Undoubtedly the times are testing and challenging, We are amidst a brutal war that is uncontrollably raging. Chaos, confusions, queries, and questions over our survival, Beating the body, pumping the pain, hearts beseech for a revival. Minds mind moments, Souls seek solace, Yearning to see the smiles back on every human face. It's time to proclaim that we might be tired, but...
GENERATIVE ADVERSARIAL NETWORKS(GANS) - PART - 2
มุมมอง 5133 ปีที่แล้ว
GENERATIVE ADVERSARIAL NETWORKS(GANS) - PART - 2
GENERATIVE ADVERSARIAL NETWORKS(GANS) - PART - 1
มุมมอง 8903 ปีที่แล้ว
GENERATIVE ADVERSARIAL NETWORKS(GANS) - PART - 1
ENCODER DECODER SEQUENCE TO SEQUENCE ARCHITECTURE
มุมมอง 6K3 ปีที่แล้ว
ENCODER DECODER SEQUENCE TO SEQUENCE ARCHITECTURE
BIDIRECTIONAL RNN- LSTM(LONG SHORT TERM MEMORY)
มุมมอง 1.3K3 ปีที่แล้ว
BIDIRECTIONAL RNN- LSTM(LONG SHORT TERM MEMORY)
CONGESTION CONTROL AND QUALITY OF SERVICE
มุมมอง 3.7K3 ปีที่แล้ว
CONGESTION CONTROL AND QUALITY OF SERVICE
Excellent explanation and good luck
Speak loudly not audible
Beautiful.
Thank you, that's very helpful
How does t regulate noise and make the neuron more deterministic?
great way of presentation, simple and effective. Thank you for creating .
Amazing explanation sir, thanks a lot :)
I need this slides please
hello could you please give this topic in pdf please
Thank you 😊
Probably the best explanation on bias on YT
for god sake please get a better microphone, my ears hurt
For sure, if you can fund him.
sounds like sm1 is barking
ECE 449 UofA
I think the notation gets reversed midway. In the second half of the talk wij denotes connections from unit j to unit i. This is not the case in the initial set up.
Good to listen sir
Excellent description of weighting and biasing. Thank you.
again hindu who does it the best, I love you guys
Thank you good person :D
Will you provide the pdf? please
thank you for this informative content.
Thank you so much for this wonderful content.
thank you
You cover it in much detail.....good
Really nice king thanks
Is it necessary to re-upload same video without changing language?
Sry bro it was uploaded like that. I had a thought of uploading in Telugu, but due to time constraints, i cant.
English hea gaa
Explained nicely. Would you mind sharing the slide?
best explanation
Clear explanation
Thanks a lot sir, very clear explanation
Thank you sir, Easily understood
Sir, could please share your notes as pdf for reference?
The simplest way of understanding. thanks
very accurate❤🔥
This actually helped a lit mind sharing the slides too as study materials??
Thank you. Drop your mail id.
Thanks again I am recommending this to my classmates. My email - srijonbiswas17@gmail.com
2021 lo choosevallu like eskondi
Very Heloful
Thanks bro!
Thank you
Why would physical address change in each hop??
Physical addresses will not change.
Sir as u said w is the number of positive weights and P is the number of negative weights but I doubt if that is value of positive weight and value of negative weight( magnitude only). Please clarify.
Good Video and Helpful! Please make more videos on SCP...
Thanks a lot.Sure
Neat explanation!
thank you
Really a very helpful video sir..!!🙂
thank you so much
This is a very good explanation! Thank you
Thank you. please share it with your friends.
Great Explanation sir Easy to understand keep it up you are going to rock it.......
Thanks a ton. Please share and subscribe. Share to your friends too.
can i contact you through an mail id
yes. u can.id: joshua.cse@anits.edu.in
Great channel!! Keep on uploading. You should search for SMZeus . c o m. Really think that it could help you grow your channel quicker!!!
Sir ur video is very useful .but the thing is why r u mentioning that this particular things r I hv said in previous video..if we want to know Abt that then again we have to search for those video .. which r waste of time
Ok...i ll try my best not to use...this particular thing.
@@joshuatalks1595 You can mention the specific video links in your description if at all.
@@sasidhar7250 sure
Newton's method: •2nd order of Taylor's seris •Hessian matrix •Asymptotically converges without exhibiting zigzag
Output=Traditionalprogramming(input, rules) Rules=machinelearning(input,output)