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On a special occasion, a little dose of furry fun can make it even more perfect.<br/>This bride was a vision of pure joy as she walked towards the altar. This was her day—a dream come true.<br/><br/>But then a little chaos entered the scene. It was her beloved dog who decided to greet her with an enthusiastic belly flop. Down he went, right on her beautiful white dress, rolling around with a happy doggy grin.<br/><br/>The bride couldn't help but giggle, and even the most serious guests cracked a grin.<br/><br/>Location:Ribeirão, Brazil <br/>WooGlobe Ref : WGA637881<br/>For licensing and to use this video, please email licensing@wooglobe.com

Beloved pup steals the spotlight on a bride's big day

⏲ 0:19 👁 440K

Modern Retro Woman

Fearlessly Draft Your Own Sewing Patterns - What the Pattern Companies Don't Want You to Know

⏲ 19 minutes 36 seconds 👁 28K

Vintage Thirsty

How to understand sewing patterns (for beginners!)

⏲ 10 minutes 5 seconds 👁 721K

'SNL's' Heidi Gardner Explains What She Was Thinking When She Couldn't Stop Laughing During Ryan Gosling's Beavis And Butt-head Sketch Master

⏲ 1:13 👁 2.4M

Minerva

Get Ready for Spring | Top 10 Women's Dresses Sewing Patterns You'll Love

⏲ 24 minutes 6 seconds 👁 10.3K

Secret Life Of A Seamstress

My (updated) TOP FIVE dress sewing patterns for woven fabrics

⏲ 26 minutes 36 seconds 👁 6K

Dresses up as ugly to avoid marriage Full<br/>Please follow the channel to see more interesting videos!<br/>If you like to Watch Videos like This Follow Me You Can Support Me By Sending cash In Via Paypal>> https://paypal.me/countrylife821<br/>

Dresses up as ugly to avoid marriage Full Movie [Drama China]

⏲ 2:2:51 👁 185K

A woman flew 1,700 miles from Lanzarote to the UK for her dad's wedding a YEAR early - after mishearing him on the phone.<br/><br/>Llarissa Pye, 29, was delighted when she found out her dad and his partner of three years, both 53, were engaged in December 2023.<br/><br/>Brit Llarissa has lived out in Lanzarote, the Canary Islands, for the last nine years after falling love with the place following a friend's birthday trip.<br/><br/>When her dad phoned her up to tell her the dates for the wedding she misheard him and thought he had said the wedding would be on the following Saturday - his birthday - and rushed to book her £200 one way flight.<br/><br/>Despite countless further communication no one realised the mistake until Llarissa was on the plane and about to take off on May 31, 2024.<br/><br/>Her whole family found the situation hilarious but Llarissa still enjoyed a mini holiday in the UK before flying back on June 4, 2024.<br/><br/>Llarissa, who works for a bike rental, and lives in Puerto del Carmen, Lanzarote, said: \

Woman flies 1,700 miles for her dad's wedding a YEAR early - after mishearing date

⏲ 1:1 👁 120K

'SNL's' Heidi Gardner Explains What She Was Thinking When She Couldn't Stop Laughing During Ryan Gosling's Beavis And Butt-head Sketch Master

⏲ 1:13 👁 1.5M

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

7 Deadly Sins - Full Movie

18+ 7 Deadly Sins - Full Movie

⏲ 1:25:59 👁 565K

Lovely Dark and Deep (2023) English Movie

Lovely Dark and Deep (2023) English Movie

⏲ 1:27:14 👁 305K

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