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Simplify your daily cooking routine with these must-have kitchen gadgets that will revolutionize the way you prepare meals! In this video, you'll discover a range of innovative tools and appliances designed to make cooking faster, easier, and more enjoyable. From time-saving food processors to handy kitchen scales and convenient storage solutions, these gadgets are sure to streamline your cooking process and help you create delicious dishes with ease. Whether you're a busy parent, a working professional, or a cooking enthusiast, these kitchen gadgets will make your life in the kitchen a breeze. Watch now and discover the key to effortless and efficient cooking!<br/>#kitchengadget #cooking #foodWe advise adult supervision and care at all times. This video is made for entertainment purposes. We do not make any warranties about the completeness, safety and reliability. Any action you take upon the information on this video is strictly at your own risk, and we will not be liable for any damages or losses. It is the viewer's responsibility to use judgment, care and precautions if one plans to replicate. <br/><br/>The following video might feature activity performed by our actors within controlled environment- please use judgment, care, and precaution if you plan to replicate. <br/><br/>All product and company names shown in the video are trademarks™️ or registered®️ trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them. <br/><br/>------------------------------------------------------------------------------------ <br/><br/>▶️ TheSoul Music: https://www.music.thesoul-publishing.com <br/>◉ Our Spotify: https://sptfy.com/TheSoulMusic <br/>◉ TikTok: https://www.tiktok.com/@thesoul.music <br/>◉ YouTube:/ @thesoulsound<br/><br/>◉ 5-Minute Crafts:/ @5minutecraftsyoutube <br/>◉ 5-Minute Crafts DIY: / @5minutecraftsdiy <br/>◉ 5-Minute Crafts PLAY: / @5minutecraftsplay <br/><br/>◉ Music by Epidemic Sound: https://www.epidemicsound.com/

Innovative Kitchen Gadgets to Simplify Your Daily Cooking

⏲ 15:23 👁 80K

Find Me In Your Memory S01E11 (Urdu/Hindi Dubbed) #saithsaab #findmeinyourmemory #kdrama<br/><br/>About<br/>8.2/10<br/>MyDramaList<br/>7.4/10<br/>IMDb<br/>9.3/10<br/>Viki<br/>78% liked this TV show<br/>Google users<br/>Find Me in Your Memory is a 2020 South Korean television series starring Kim Dong-wook and Moon Ga-young. It aired on MBC TV from March 18 to May 13, 2020. Wikipedia<br/>Number of episodes: 16<br/>Final episode date: May 13, 2020<br/>Literal meaning: Memoir of the Man<br/>Music by: Kim Joon-seok; Jeong se-rin<br/>Original language: Korean<br/>Production company: Chorokbaem Media<br/><br/>Mun Ka-Young,Kim Dong-wook,Rowoon,Lee Jin-hyuk,Kim Seul-gi,Lee Joo-bin,Yoon Jong-hoon,Yangpa,Kim Seon-ho,Ji Il-joo,Jang Young Nam,Lee Seung-joon,Shin Joo-Hyup,Kim Yura,Park Ji-won,Joo Suk-tae,Jang Yi Jung,Gil Hae-yeon,Kim Chang-wan,Yoo Ji-soo,Cha Kwang Soo,Lee Soo-mi,Han Eun-jung,Jang In-sub,Shin Dong-mi,Kim Nam-hee,Hong Yoon Hwa,Kim Eana,Kwon Eun Soo,Park Sung-geun,Choi Yi Sun,<br/>saithsaabb,saith saabb,saith saab,korean drama,kdrama,<br/>findmeinyourmemory,find me in your memory,kdrama find me in your memory,watch free,watch online,find me in your memory watch,watch find me in your memory hindi,

Find Me In Your Memory S01E11 (Urdu\ Hindi Dubbed) #saithsaab #findmeinyourmemory #kdrama

⏲ 1:3:11 👁 325K

Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \

Session 17: Deployment of Machine Learning Models in Open RAN Networks

⏲ 4:9 👁 75K

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