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This is an all-in-one lecture where you can learn the entire process from the basics of deep learning/TensorFlow/computer vision to practical applications through a practical vehicle license plate recognition project. Through various practical exercises, you can develop practical skills to apply the latest deep learning models to custom datasets.

aischool

인프런 10주년! 사랑주간 전체 할인

All-in-one deep learning image recognition with vehicle license plate recognition project and TensorFlow

AISchool

입문

초급

중급이상

텐서플로

Tensorflow

Deep Learning(DL)

Machine Learning(ML)

합성곱신경망

자연어처리(Natural Language Processing)

Course Introduction

Lecture 1 - ML/DL/TensorFlow/CV Fundamentals - Learn deep learning basics and implement basic models in TensorFlow

Lecture 2 - Learning Image Feature Extraction Methods using CNNs - Let's look at the concept of CNNs and standard CNN models

Lecture 3 - Pre-Trained CNN - Let's look at how to use pre-trained CNNs

Lecture 4 - Learning Time Series Feature Extraction Methods Using RNN - Moving Beyond Image Data to Handle Time Series Data

File Structure for Deep Learning Paper Implementation Project

Lesson 5 - Text Detection - Let's find the location of text within an image & Let's carry out a practical project to find car license plates within an image

Notes for Colab Labs Requiring Long Training

Acquiring basic Python knowledge for practical projects

Lecture 6 - Optical Character Recognition (OCR) [Text Recognition] - Recognize text in images and conduct a practical project on vehicle license plate recognition

Lecture 7 - License Plate Recognition - Let's conduct a practical project on vehicle license plate recognition and explore methods for improving deep learning model performance.

Lecture 8 - Object Detection - Let's solidify the concept of Object Detection and explore the principles of the latest deep learning Object Detection models.

Lecture 9 - Object Detection Practical Project - Let's perform Object Detection on a Custom Dataset using the Latest Deep Learning Model

Image Captioning - Automatically generating image descriptions with AI

Generative Adversarial Networks(GAN) - Let's generate Fake Data using AI

Neural Style Transfer - Overlay a painting image on photos

Semantic Image Segmentation - Let's classify images pixel by pixel

Human Pose Estimation - Let's try to predict human pose

Summary of How to Conduct Deep Learning Practical Projects & How to Use Papers With Code & Introduction to Deep Learning Application Areas Beyond Computer Vision