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TutorialsExplore Comprehensive Tutorials for Various SkillsAccess a wide range of tutorials on various topics, including technology, design, business, and more. Whether you're a beginner or an expert, find the perfect tutorial to help you improve your skills and achieve your goals.  Face recognition is used for everything from automatically tagging pictures to unlocking cell phones. And with recent advancements in deep learning, the accuracy of face recognition has improved. In this course, learn how to develop a face recognition system that can detect faces in images, identify the faces, and even modify faces with "digital makeup" like you've experienced in popular mobile apps. Find out how to set up a development environment. Discover tools you can leverage for face recognition. See how a machine learning model can be trained to analyze images and identify facial landmarks. Learn the steps involved in coding facial feature detection, representing a face as a set of measurements, and encoding faces. Additionally, learn how to repurpose and adjust pre-existing systems. Duration: 1h 25m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 284 MB Level: Intermediate | Genre: eLearning | Language: English Free Download Linkedin - Deep Learning: Face Recognition  jаvascript developers can use the TensorFlow framework to create a machine learning (ML) project. This course introduces you to ML basics, and demonstrates how to set up and use TensorFlow to train a model and generate live results. Emmanuel Henri shows how to create a new project; how to work with different tensor types, variables, models, and layers; how to import a project and explore datasets; how TensorFlow executes model training; how to convert a saved model for the web; and more. Duration: 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 162 MB Level: Intermediate | Genre: eLearning | Language: English Free Download Learning TensorFlow with jаvascript  Learning a new parenting language that will help your anxious child Last updated 02/2023 Duration: 1h 41m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.39 GB Genre: eLearning | Language: English[Auto]  Learn the Basics of Jupyter Notebook, Data Manipulation, Visualization, and Collaboration in Python Environment Published 2/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.08 GB | Duration: 1h 29m  Learn Fortinet NSE7 Version 7 SD-WAN with Step by Step Lab Workbook Last updated 2/2023 Created by Ahmad Ali MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch  Build Doctor Appointment Booking Application From Scratch using React , Firebase and ANTD Published 2/2023 Created by K.Sathyaprakash Reddy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch  DNS configuration Published 2/2023 Created by GBENGA KESHINRO MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch  ChatGPT To Dramatically Improve Productivity + Unusual Time Mgmt. Tips. ChatGPT Work, ChatGPT Automation, ChatGPT 2023! Last updated 02/2023 Duration: 3h 19m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.5 GB Genre: eLearning | Language: English[Auto]  TensorFlow is one of the most popular deep learning frameworks available. It's used for everything from cutting-edge machine learning research to building new features for the hottest start-ups in Silicon Valley. In this course, learn how to install TensorFlow and use it to build a simple deep learning model. After he shows how to get TensorFlow up and running, instructor Adam Geitgey demonstrates how to create and train a machine learning model, as well as how to leverage visualization tools to analyze and improve your model. Finally, he explains how to deploy models locally or in the cloud. When you wrap up this course, you'll be ready to start building and deploying your own models with TensorFlow. Duration: 1h 46m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 274 MB Level: Intermediate | Genre: eLearning | Language: English Free Download Building and Deploying Deep Learning Applications with TensorFlow  Discover how to use Python—and some essential machine learning concepts—to build programs that can make recommendations. In this hands-on course, Lillian Pierson, P.E. covers the different types of recommendation systems out there, and shows how to build each one. She helps you learn the concepts behind how recommendation systems work by taking you through a series of examples and exercises. Once you're familiar with the underlying concepts, Lillian explains how to apply statistical and machine learning methods to construct your own recommenders. She demonstrates how to build a popularity-based recommender using the Pandas library, how to recommend similar items based on correlation, and how to deploy various machine learning algorithms to make recommendations. At the end of the course, she shows how to evaluate which recommender performed the best. Duration: 1h 38m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 177 MB Level: Intermediate | Genre: eLearning | Language: English Free Download Building a Recommendation System with Python Machine Learning & AI |
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