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Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)

Кадры Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)

Описание Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)

Коментарии Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)

Do you want to learn technology from me? Check codebasicsio/ for my affordable video courses Comment from : codebasics

@codebasics the seaborn heatmap is just showing the first row with proper values Rest heatmap is blank please tell me how to fix this issue Comment from : Harshvardhan Pardeshi

Amazing! Comment from : Akbar Majidi

Why am I getting keras not defined when running the built model Comment from : mr ken

you have an amazing cadence to your speech Comment from : Mary Zaki And our Rugrats!

in 22:01 why sir is dividing not using standard scaler rather than dividing Comment from : Arju Kundu

I wish I started to learn neural network with your tutorials thank you Comment from : Nazlı Erdemir

hi sir I'm getting an error in input_shape Comment from : PriyaAMP

Comment from : Mohammad Abbas

Attribute Error: module 'kerasapi_v2keras' has no attribute 'compile'brI'm getting this errorbrAnyone pls help Comment from : The Unstoppable Cuber

So it seems that learning machine learning without mastering computer programming language is hard Comment from : tadesse hailu

Dear Sir thanks a lot for your clever and robust teaching please can i get presentation of this course Comment from : Abeer Zidan

i use echos 10 they give me score 99 Comment from : Vishal Malik

Great explanation Comment from : CSEROX

I have been following you from the ML Playlist , amazing content !! Thank you so much sir ! Comment from : SingingWithAdi

me when my code works at 3AM T-Tbr26:14 Comment from : Rayan Ali

HiThank you so much for your video It's very understandable and clear I tried this and able to achieve what is explained I need one suggestion regarding same Can we do same to recognize date and time For example 2023/05/16 06:40:50Can we create similar model to detect this To achieve this we need to create dataset each digit and two symbols ("/" and ":") and train them or full numbers(date and time including) as one Please suggest how to recognize full date and time Comment from : Sukumar Reddy

Sir,At 23:00 can't we convert those data 0-255 into binary? and have the output? Comment from : 1866_Wazih Ullah Tanzim_B

Over rated Commentsnot explaining the code go through Comment from : Sonam jain

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