Step-by-Step Handwritten Sentence Recognition with TensorFlow and CTC loss

Unlock the power of handwritten sentence recognition with TensorFlow and CTC loss. From digitizing notes to transcribing historical documents and automating exam grading.

This tutorial will teach you how to use TensorFlow and CTC loss to master Handwritten Sentence Recognition. This challenging task involves interpreting text written in handwriting and has various applications, such as converting handwritten notes into digital text, transcribing historical documents, and automating the grading of exams. One of the critical challenges in Handwritten Sentence Recognition is handwriting variability, which makes it difficult for a machine-learning model to recognize handwritten text accurately. With this tutorial, you'll be able to address this challenge and use your model to recognize handwritten text with high accuracy. You'll learn how to use CTC loss to handle sequence data, such as text, and how to train your model to recognize handwritten text even with different input and output sequence lengths. Don't miss out on this opportunity to become an expert in Handwritten Sentence Recognition!

#machinelearning #python #tensorflow #opencv #ocr

[fearlife]

Sorry, I have a question. How to continue the training of the model ? i have many new datasets and i want to train my model many more times to increase accuracy

[_AnanyaKale]

Will this work on JUPITER NOTEBOOK PYTHON...PLS HELP..THANKS....

[raghavsharma-utoy]

Thanks for sharing such a valuable content..

[cacadoomed]

Please provide the dataset i cant get verification email from the website database

[Desmond_Plays]

Sorry, I know this is out of the video scope. I couldn't find the annotations file for the IAM forms dataset, is there any place I can download it?

[ibraheem]

Can we get the tensor board graphs that you show in the end, in google colab?

[vkrts]

Can you suggest to some steps to extract information from a "BANK CHECK" like Payee name, Amount in words, Amount in digits, date, MICR Code etc .

[juanmoctezuma]

great tutorial! - but i have a question, if i download the giant IAM dataset -> train my model -> load my model / script into a streamlit web app, can I delete the IAM database after training my model locally or do I need to keep it so that my model continues to run? Im working on an OCR app that copies text from pdfs and converts it into string - thanks!

[syndix]

is this using vision transformers by any chance?

[d.kvlogs]

hey I am getting error in keras.callbacks module can tell me exactly which version of tensorflow and keras you have used here

[jenellpatchen]

hello, I have a question, how to continue the training of the model? I don't want to restart training the machine from scratch all over again,

[vaishalishiv]

Not able to download dataset from the link you mentioned, can you help me ?

[vkrts]

I'm able to get the prediction. How do I improve the prediction results?

[sondosaabed]

Did start with the loss inf? and then after the 20th epoch started to learn?

[MonishaBM-rfqk]

In which folder we want to store train model pls tell me it is showing error

[mobeentariq]

Awesome tutorial.
I have one question, can i use it on image which contains more than one sentence? Like 2 or 3 sentences.

[ayilanaveensai]

How to give external images for this model sir, can you please say me

[Sihaam_Sheik]

How to create handwritten image dataset for regional language

[computer]

Hi there, how i make propject where i insert handwritten pdf and get a pdf with text converted .

[swapnasompalli]

Hello Sir, thanks for sharing this video and knowledge request your suggestion on the software that identifies the user handwriting style like (Cursive handwriting, Lucida etc) and suggest the improvements in Handwriting if there any mistakes in the handwriting styles. for example user writes word "Apple" in Cursive handwriting but if letter "e" is more squeezed, the software should identify the letter "e" and suggest "e" should be properly written... please suggest if you have any software or code... Thanks a lot once again.