Free Download Face Recognition Using Tensorflow And Keras From Scratch
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 563.11 MB | Duration: 0h 30m
Learn Machine Project Face Recognition Using TensorFlow And Keras From Scratch
What you'll learn
Gain a comprehensive understanding of the principles and applications of face recognition
Familiarize yourself with the basics of TensorFlow and Keras, understanding their role in building neural networks for face recognition.
Explore techniques for collecting and preprocessing face data, ensuring high-quality input for training your models.
Understand the process of training your face recognition model using TensorFlow and Keras, optimizing for accuracy and efficiency.
Requirements
Basic understanding of machine learning concepts.
Familiarity with Python programming.
Download Pycharm IDE For Project
Teachable machine Basic Understanding
Description
Course Title: Face Recognition Using TensorFlow and Keras From ScratchCourse Description:Welcome to the Face Recognition Using TensorFlow and Keras From Scratch course, where you'll delve into the fascinating world of machine learning and computer vision to build a robust face recognition system. This comprehensive course is designed for both aspiring machine learning enthusiasts and developers aiming to expand their skill set. Through hands-on exercises and real-world applications, you will gain the knowledge and expertise needed to implement face recognition from scratch using TensorFlow and Keras.What You Will Learn:Introduction to Face Recognition:Explore the principles, applications, and significance of face recognition in various domains.Setting Up Your Development Environment:Configure and set up your development environment for TensorFlow and Keras, ensuring a smooth coding experience.Foundations of TensorFlow and Keras:Gain a solid understanding of the basics of TensorFlow and Keras, the essential tools for building neural networks in face recognition.Data Collection and Preprocessing:Learn techniques for collecting and preprocessing face data to ensure high-quality input for training your face recognition models.Building a Convolutional Neural Network (CNN)
Overview
Section 1: INTRODUCTION TO COURSE
Lecture 1 Introduction To Teachable Machine
Lecture 2 CREATING DATASET FOR FACE RECOGNITION
Lecture 3 TRAIN THE DATASET AND ITS FEATURES
Lecture 4 VALIDATE THE TRAINED MODEL
Lecture 5 DOWNLOAD THE TENSORFLOW AND KERAS MODEL
Lecture 6 EXTRACT THE KERAS MODEL AND LABELS
Section 2: INTRODUCTION TO Face Recognition Using TesnsorFlow And Keras
Lecture 7 INSTALL PACKAGES AND EXECUTE PROJECT IN PYCHARM IDE
Lecture 8 OUTPUT FOR FACE RECOGNITION AND CONCLUSION
Machine Learning Enthusiasts,Developers and Programmers,Computer Vision Enthusiasts
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