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Real-Time Pornography Censorship with TensorFlow2 & WebRTC

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Beny Rahman Hakim, M.Kom

10:53:17

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  • 1. Projects Demo.mp4
    03:18
  • 2. About The Course.mp4
    10:32
  • 1.1 1-Pornography Censorship & Challenges.pptx
  • 1. Pornography Censorship & Challenges.mp4
    28:55
  • 2.1 2-TensorFlow 2 Object Detection.pptx
  • 2. TensorFlow 2 Object Detection.mp4
    43:10
  • 3.1 3-Why not Using Image Classification.pptx
  • 3. Why not Using Image Classification.mp4
    08:00
  • 4.1 4-Starting from Scratch to Implementation.pptx
  • 4. Starting from Scratch to Implementation.mp4
    16:07
  • 1.1 1-Getting Ready.pptx
  • 1. Requirements HardwareSoftware.mp4
    13:17
  • 2.1 1-Getting Ready.pptx
  • 2. The Secrets.mp4
    08:51
  • 3.1 1-Getting Ready.pptx
  • 3. Download Resources.mp4
    12:30
  • 4.1 1-Getting Ready.pptx
  • 4. Install NodeJS Framework.mp4
    06:17
  • 5.1 1-Getting Ready.pptx
  • 5. Install Python Anaconda.mp4
    08:44
  • 6.1 1-Getting Ready.pptx
  • 6. Configuring LabelImg.mp4
    16:35
  • 7.1 1-Getting Ready.pptx
  • 7. Video to Image Converter.mp4
    05:15
  • 8.1 1-Getting Ready.pptx
  • 8. Install Visual Studio Code.mp4
    05:51
  • 9.1 1-Getting Ready.pptx
  • 9. Working with Google Colaboratory.mp4
    08:58
  • 1.1 Collecting Dataset.rar
  • 1.2 Train Dataset Using Method of Transfer Learning.pptx
  • 1. Collecting Dataset.mp4
    44:40
  • 2.1 Dataset Pre-Processing.rar
  • 2. Dataset Pre-Processing.mp4
    46:18
  • 3.1 Image Labelling.rar
  • 3. Image Labelling.mp4
    20:12
  • 4.1 Dataset Training.rar
  • 4. Dataset Training.mp4
    01:08:20
  • 1.1 1-Pornography Censorship on Images.pptx
  • 1.2 image-detection.rar
  • 1. Build The UI First!.mp4
    37:36
  • 2. Get The App to Run.mp4
    22:00
  • 3. Add The Controller to Censor Pornography on Image.mp4
    49:51
  • 1.1 2-Pornography Censorship on Video.pptx
  • 1.2 video-detection.rar
  • 1. Build The UI First!.mp4
    24:11
  • 2. Get The App to Run.mp4
    08:54
  • 3. Add The Controller to Censor Pornography on Video.mp4
    13:08
  • 1.1 3-Pornography Censorship on Live Streaming.pptx
  • 1.2 livestreaming-detection.rar
  • 1. Build The UI First!.mp4
    38:32
  • 2. Get The App to Run.mp4
    28:03
  • 3. Add The Controller to Censor Pornography on Live Streaming.mp4
    15:08
  • 1.1 4-Pornography Censorship on Video Call-Conference.pptx
  • 1.2 vidcall-detection.rar
  • 1. Build The UI First!.mp4
    20:14
  • 2. Get The App to Run.mp4
    11:22
  • 3. Add The Controller to Censor Pornography on Video CallConference.mp4
    08:28
  • Description


    Learn How to Successfully Train Custom Dataset and Combine NodeJS-TensorFlowJS-WebRTC for Censoring Pornography

    What You'll Learn?


    • Basic Introduction to Pornography Censorship & Challenges
    • Learn How to Constantly Successful in Training Custom Dataset (NSFW) Using TensorFlow 2
    • Preparing The Necessary Requirements to Successfully Train & Implement TensorFlow Object Detection
    • Train Dataset Using Transfer Learning Method
    • Combining TensorFlow 2 Object Detection, NodeJS, TensorFlowJS and WebRTC Framework for Censoring Pornography
    • Build Apps Capable of Censoring Pornography on Image, Video, Livestreaming & Video Conference/Call

    Who is this for?


  • Everyone Curious about Online Real-Time Object Detection & Pornography Censorship Based on TensorFlow2-NodeJS-TensorFlowJS-WebRTC Frameworks
  • What You Need to Know?


  • No programming experience needed. Students will learn everything within the course step by step.
  • More details


    Description

    Tensorflow Object Detection is one of many Artificial Intelligence (AI) technology that grow rapidly in recent years. Its abilities gives our computer and devices the capability to recognize objects with image processing method. It has been so popular recently and has various usages in our daily lives. For example, object detection is often used in robotics, health care, military, game and other modern tools. However, it's quite challenging to successfully implement this technology as so much miscalculation might occur. One single mistake can jeopardize the whole processes, which is tiring and time consuming. Beginners that attempt this challenge usually find themselves lost in nowhere even with so many references (whether from books, journals, internet) out there. Supposedly, that's the reason why this course is created, which is to help anyone taking the path to this awesome technology. Inside, learners will learn:

    1. Preparations needed in order to successfully

    2. Installing necessary tools

    3. Methods to Collect Dataset

    4. Dataset Pre-Processing

    5. Image Annotation

    6. Train dataset using Transfer Learning method of TensorFlow 2 framework

    7. Online Real-Time Object Detection on Web App to censor pornography contents

    8. Combining TensorFlowJS, NodeJS, & WebRTC frameworks to build apps capable of censoring pornography on image, video, livestreaming and video call/conference

    By the end of this course, students should be able implementing tensorflofw object detection on various apps and purposes.

    Who this course is for:

    • Everyone Curious about Online Real-Time Object Detection & Pornography Censorship Based on TensorFlow2-NodeJS-TensorFlowJS-WebRTC Frameworks

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    Beny Rahman Hakim, M.Kom
    Beny Rahman Hakim, M.Kom
    Instructor's Courses
    I've been lecturing for more than 5 years at a private college in Indonesia. The latest education I took was Masters degree in Informatics Engineering at Amikom University of  Yogyakarta city. I obtained undergraduate at Indonesian Computer University majoring in Computer Systems. I love to learn and try new techniques of hardware/software design and implementation. My motivation for joining Udemy as an instructor is to share my experiences and knowledge that I've gained so far, which maybe rarely taught by anyone out there.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 31
    • duration 10:53:17
    • Release Date 2024/01/13