Python Ocr: Learn Optical Character Recognition From Scratch
https://DevCourseWeb.com
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 268.55 MB | Duration: 0h 55m
Optical Character Recognition with Python: Build Your Own OCR System using Keras, Tensorflow, and Computer Vision
What you'll learn
Understand the basics of Optical Character Recognition (OCR) technology and its applications.
Learn how to preprocess and prepare data for OCR model training using Python and OpenCV.
Gain an understanding of deep learning concepts, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), & their application to OCR
Develop hands-on experience in building and training OCR models using Keras, a deep learning library in Python.
Learn how to evaluate OCR models and measure their performance using metrics such as accuracy and loss.
Understand how to apply OCR models to real-world problems, such as captcha recognition.
Develop an appreciation for the potential of OCR technology and its impact on various industries, including healthcare, finance, and legal.
Enhance problem-solving skills and ability to apply machine learning concepts in real-world situations.
Requirements
Basic knowledge of Python programming language
