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Tag: BERT

  • Bert Jones #7 Baltimore Colts NFL 8″X10″ Glossy Photo Print 6-RNN

    Bert Jones #7 Baltimore Colts NFL 8″X10″ Glossy Photo Print 6-RNN



    Bert Jones #7 Baltimore Colts NFL 8″X10″ Glossy Photo Print 6-RNN

    Price : 12.00

    Ends on : N/A

    View on eBay
    Are you a fan of the Baltimore Colts and Bert Jones? Then you won’t want to miss out on this 8″X10″ Glossy Photo Print of the legendary quarterback in action! This high-quality print captures Jones wearing his iconic #7 jersey and leading the Colts to victory on the field.

    Whether you’re a die-hard Colts fan or just appreciate the history of the NFL, this photo print is a must-have addition to your collection. Hang it up in your man cave, office, or sports memorabilia display to show off your love for the game and one of its greatest players.

    Don’t wait, order your Bert Jones #7 Baltimore Colts NFL 8″X10″ Glossy Photo Print today and relive the glory days of Colts football! #6-RNN
    #Bert #Jones #Baltimore #Colts #NFL #8X10 #Glossy #Photo #Print #6RNN,rnn

  • Texas Kicker Bert Auburn to remain a Longhorn for additional year.

    Texas Kicker Bert Auburn to remain a Longhorn for additional year.


    Chip Brown of 247 Sports confirmed on Monday that Texas senior kicker Bert Auburn will remain with the Longhorns for his additional year of eligibility.

    Auburn, a fourth-year kicker, has appeared in 28 games. He was selected to Phil Steele’s 2024 Preseason All-America Second Team and named to the 2024 preseason first-team All-SEC by the media.

    In 2023, Auburn established UT single-season records for field goals made (29) and points scored by a kicker (143). He also set the Texas and Big 12 Conference record with 19 consecutive field goals made. Auburn also set a Texas record for a kicker with 21 points scored against Texas Tech.

    Auburn joined the Longhorns as a redshirt freshman and currently holds the program record for total field goals made at 61. He is following in the footsteps of LA Charger and former Longhorn Cameron Dicker.

    Bert Auburn and the Texas Longhorns will face the Arizona State Sun Devils in the Peach Bowl CFP quarterfinal on New Year’s Day from Mercedes Benz Stadium in Atlanta at 12 p.m. CT.





    In an unexpected turn of events, Texas Longhorns kicker Bert Auburn has announced that he will be returning for an additional year with the team. After much speculation about his future in the NFL draft, Auburn has decided to delay his professional career and continue to represent the burnt orange and white.

    Auburn, a standout player for the Longhorns, has been a key player in many crucial moments for the team. His strong leg and accuracy have helped lead the Longhorns to victory in several close games, making him a fan favorite among the Texas faithful.

    With Auburn’s decision to stay, the Longhorns are sure to have a reliable and talented kicker for the upcoming season. Head coach Tom Herman expressed his excitement about Auburn’s return, stating, “Bert is a valuable asset to our team and we are thrilled to have him back for another year. His leadership and skills on the field will be instrumental in our success next season.”

    Fans of the Longhorns can look forward to seeing Auburn in action once again as he continues to solidify his place as one of the top kickers in college football. Stay tuned for more updates on Bert Auburn and the Texas Longhorns as they prepare for the upcoming season. #HookEm

    Tags:

    1. Texas Kicker Bert Auburn
    2. Longhorn football news
    3. Bert Auburn contract extension
    4. Texas Longhorns kicker update
    5. Bert Auburn staying at Texas
    6. NCAA football rumors
    7. Longhorn football recruiting
    8. Bert Auburn career stats
    9. Texas Longhorns special teams
    10. Bert Auburn NFL draft prospects

    #Texas #Kicker #Bert #Auburn #remain #Longhorn #additional #year

  • Bert Auburn planning to return to Texas, and coaches want punter Michael Kern to stay at UT and develop

    Bert Auburn planning to return to Texas, and coaches want punter Michael Kern to stay at UT and develop


    ATLANTA — Texas senior kicker Bert Auburn, who has an additional year of eligibility, told Horns247 on Monday he plans to return to Texas next season. 

    And Texas special teams coordinator Jeff Banks said despite signing senior   Utah transfer Jack Bouwmeester, he wants freshman Michael Kern to stay at Texas and continue to develop.

    “I think adding [Bouwmeester], a senior punter, coming in with Mike [Kern’s] development, we’re going to have a great, solidified punter position for the next four years, which I’m excited about,” Banks said. “I think Mike has had his two best games the last two games, so that’s been good.”

    Texas coaches and players had Media Day Monday leading up to their College Football Playoff quarterfinal against Arizona State in the Peach Bowl on Jan. 1 at 12 pm CT (on ESPN).

    Auburn told Horns247 he plans to return to Texas next season.

    After hitting 80.8% of his field goals in 2022 (21-of-26) and 82.9% in 2023 (29-of-35), Auburn has hit just 68.2% this season (15-of-22).

    Auburn is 9-of-9 on field goals of 20-39 yards, but only 6-of-11 on attempts of 40-49 yards and 0-of-2 on attempts of 50 or more yards. His misses this season have been from 43 (Michigan), 44 (OU), 51 (Florida), 47 (Kentucky), 48 (A&M), 42 and 51 yards (both in the SEC title game).

    “I think it’s pretty clear as far as my game I can speak on, I mean, it hasn’t gone the way I’ve wanted it to,” Auburn said of his season so far. “It hasn’t been the best year, but, I mean, it’s all in the past. That doesn’t mean I can’t have the next couple of games going forward that I want to have. So just looking forward to what’s next.”

    The good news is Auburn’s  37-yard field goal with 18 seconds left, forcing overtime against Georgia in the SEC Championship game, made Auburn 5-of-5 on field-goal attempts to tie or take the lead in the final two minutes of a game during his career. The others: a 48-yarder as time expired at Texas Tech in 2022, forcing OT; a 49-yarder with 1:27 left, giving Texas a 19-17 lead against Alabama in 2022; a 47-yarder against Oklahoma in 2023 with 1:17 left, giving Texas a 30-27 lead; a 42-yarder in OT in Texas’ 33-30  win over Kansas State in 2023.

    “It’s definitely reassuring to think about [his successful pressure kicks],” Auburn said. “But like I said earlier, that’s the past. It doesn’t guarantee the next one. So really, just focusing in on everything you’ve practiced prepares you for those situations.”

    Auburn said the thing he loves most about this year’s team is the culture coach Steve Sarkisian has established.

    “I got here the first year Sark was here. We were five and seven, and now just being a part of the whole culture change has been, has been unreal, just what Sark and and all the seniors here, and you know, people that have left to have put into this team, as far as as culture wise, I don’t think anybody in the country can beat it.

    Punter Michael Kern has struggled through freshman growing pains, averaging 40.53 yards per punt.

    Most freshman punters struggle. Texas’ Michael Dickson, who won the Ray Guy Award in 2017, averaged 41.3 yards per punt as a freshman in 2015 before averaging 47.4 yards per punt in 2016 and 2017.

    Banks’ plan is for Kern to stay at Texas and develop into a great punter. Bouwmeester, who averaged 45.5 ypp in 2023 with 19 punts of 50 or more yards and 20 downed inside opponents’ 20, provides veteran insurance as Kern grows on the job.



    After a successful season with the Auburn Tigers, star punter Bert Auburn is reportedly planning to return to his home state of Texas. However, coaches at the University of Texas are hoping to persuade Michael Kern, their talented punter, to stay and continue to develop his skills at UT.

    Auburn, a native of Houston, has been a standout player for Auburn, consistently pinning opponents deep in their own territory with his booming punts. His decision to return to Texas has sparked excitement among Longhorn fans, who are eager to see him suit up in burnt orange.

    Meanwhile, Kern, a promising young talent, has shown great potential during his time at Texas. Coaches believe that with the right guidance and development, he has the potential to become one of the top punters in the country.

    The coaching staff at UT is working hard to convince Kern to stay and continue his development with the Longhorns. They see him as a key piece of their special teams unit and are hopeful that he will choose to remain in Austin.

    As the offseason unfolds, all eyes will be on the decisions of both Auburn and Kern. Longhorn fans will be eagerly awaiting news of their plans for the upcoming season. Stay tuned for updates on this developing story.

    Tags:

    • Bert Auburn Texas return
    • Michael Kern UT punter
    • Texas football coaching news
    • Bert Auburn coaching update
    • Longhorns punter Michael Kern
    • Texas Longhorns football updates
    • Bert Auburn coaching plans
    • Michael Kern development at UT
    • Texas football team news
    • Longhorns special teams update

    #Bert #Auburn #planning #return #Texas #coaches #punter #Michael #Kern #stay #develop

  • Texas K Bert Auburn returning for 2025 season

    Texas K Bert Auburn returning for 2025 season


    ATLANTA — Sideshow Bert back.

    At Peach Bowl Media Day in Monday at the College Football Hall of Fame ahead of Wednesday’s matchup between the Texas Longhorns and the Arizona State Sun Devils, special team’s coordinator Jeff Banks told Burnt Orange Nation that kicker Bert Auburn will be in burnt orange and white once again for his final season of eligibility in 2025.

    Auburn also told Horns247 that he plans on returning, a decision foreshadowed when the Flower Mound product opted against walking on Senior Day against Kentucky last month.

    A 60, 185-pounder, Auburn walked on at Texas in 2021 and made an appearance in the win over Rice, then took over for Cameron Dicker the following season after competing for the starting place kicker job against Stone, converting on 21-of-26 field-goal attempts and scoring 118 points, the second-most in a single season for a Longhorns kicker.

    Auburn started to demonstrate his ability in the clutch during the last-second Week 2 loss to Alabama in Austin in 2022, hitting on 4-of-5 field-goal attempts, including a 49-yarder with 1:29 remaining to take the lead. In the Big 12 opener against Texas Tech in Lubbock, Auburn came through again in a big moment, nailing a 44-yarder as time expired to send the game into overtime.

    The 2023 season got off to an inconsistent start for Auburn working with graduate transfer punter Ryan Sanborn as his holder, resulting in five misses through the first five games, matching Auburn’s 2022 total, including two miscues against Kansas. Sarkisian stuck with Auburn, putting an emphasis on improving the entire field-goal operation.

    Auburn responded to the vote of confidence from his head coach, setting a program and conference record with 19 consecutive made field goals and the school’s single-season record with 29 made field goals while scoring 143 points, the most ever for a Texas kicker and the third-most for any Longhorns player. Conference coaches and the Associated Press selected Auburn as the first-team All-Big 12 kicker.

    In the overtime win over Kansas State, Auburn made all four attempts, including a 49-yarder, hit three in the road win against TCU, including another 49-yarder, connected on three field goals in Ames as Texas beat Iowa State, and then made a career-long 54-yard in the regular-season finale against Texas Tech.

    At the start of summer conditioning prior to the 2024 season, Auburn was placed on scholarship by the Texas staff.

    The entire 2024 campaign has looked more like the shaky start to 2023 for Auburn than his record-setting finish — his overall accuracy has dropped to 68.2 percent from 82.9 percent last season, he’s missed both of his attempt over 50 yards, and he’s 6-of-11 on field-goal attempts between 40 and 49 yards.

    As HornSports pointed out on Twitter Monday, the issues for Auburn have mostly come from the right hash, as he’s perfect on five kicks from the left hash, 5-of-7 from the middle, including a miss from 51 yards, and 5-of-10 from the right hash.

    While Banks indicated that Auburn is excited about finishing the season strong, the SEC Championship game loss to Georgia was a microcosm of the 2024 campaign with Auburn connecting on four field goals (41 yards, 42 yards, 37 yards, and 32 yards) and missing two field goals (42 yards and 51 yards). The Longhorns lost in overtime.

    Now the immediate question for Auburn is whether he can make a clutch kick from 40-plus yards if Texas needs him to against Arizona State. The holding of freshman punter Michael Kern hasn’t been an issue, according to Banks, and Auburn has made some high-pressure field goals in his career — remember those late kicks against Alabama and Texas Tech back in his first season as a starter in 2022?

    “I think he has the experience to make those kicks. I think when you get past 50, you’re looking at a tougher kick… I think it’s just been a little bit hit or miss, a little bit unlucky. He’s missed some field goals to the right, but not by very much — by four or five feet,” Banks told Burnt Orange Nation.

    “It’s a good kick as far as contact, so that’s probably been the more frustrating thing. When you miss field goals and you hit the ball poorly, for me it’s like, that’s a shitty kick. You know what I mean? He hasn’t had a lot of those, it’s just missing it slightly to the right or to the left, so hopefully he can get a rhythm these next few games.”





    Exciting news for Texas Longhorns fans as star kicker Bert Auburn has announced he will be returning for the 2025 season! Auburn, known for his booming kicks and clutch performances, will be a key player for the Longhorns as they look to make a run at the conference title.

    Auburn’s decision to return is sure to bolster Texas’ special teams unit and provide a reliable option for field goals and kickoffs. With his experience and talent, Auburn will be a valuable asset for the Longhorns as they aim for success in the upcoming season.

    Fans can look forward to seeing Auburn back in action, ready to make an impact on the field and help lead Texas to victory. Stay tuned for more updates as the 2025 season approaches! #HookEm

    Tags:

    1. Texas K Bert Auburn
    2. Texas Longhorns kicker
    3. Bert Auburn news
    4. 2025 college football season
    5. Texas Longhorns football
    6. Bert Auburn returning
    7. NCAA football updates
    8. Texas Longhorns roster
    9. College football player news
    10. Bert Auburn Texas Longhorns.

    #Texas #Bert #Auburn #returning #season

  • Python Natural Language Processing (NLP) Exercises : From Basics to BERT

    Python Natural Language Processing (NLP) Exercises : From Basics to BERT


    Price: $31.72
    (as of Dec 29,2024 09:43:48 UTC – Details)




    ASIN ‏ : ‎ B08KPFBF4M
    Publication date ‏ : ‎ October 3, 2020
    Language ‏ : ‎ English
    File size ‏ : ‎ 44472 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 212 pages


    Python Natural Language Processing (NLP) is a powerful tool that allows computers to understand, interpret, and generate human language. From basic tasks like tokenization and part-of-speech tagging to advanced techniques like sentiment analysis and named entity recognition, NLP has a wide range of applications in fields such as machine learning, artificial intelligence, and data science.

    In this post, we will explore a series of Python NLP exercises that will take you from the basics to the cutting-edge BERT model. Whether you are new to NLP or looking to expand your skills, these exercises will help you build a solid foundation in natural language processing.

    1. Tokenization: Start by learning how to break a text into individual words or tokens. This is a fundamental step in NLP and is essential for tasks like text analysis and language modeling.

    2. Part-of-Speech Tagging: Next, move on to part-of-speech tagging, which involves assigning a grammatical category (e.g., noun, verb, adjective) to each word in a sentence. This is useful for tasks like information extraction and text classification.

    3. Named Entity Recognition: Dive into named entity recognition, where you identify and classify named entities (e.g., person, organization, location) in a text. This is crucial for tasks like entity linking and information retrieval.

    4. Sentiment Analysis: Explore sentiment analysis, a popular NLP task that involves determining the sentiment or emotion expressed in a piece of text (e.g., positive, negative, neutral). This is useful for tasks like opinion mining and social media analysis.

    5. BERT Model: Finally, learn about the BERT (Bidirectional Encoder Representations from Transformers) model, a state-of-the-art language model that has revolutionized NLP tasks like question answering, text classification, and language understanding. Dive into fine-tuning BERT for your specific NLP tasks and see the impressive results it can achieve.

    By completing these Python NLP exercises, you will gain a comprehensive understanding of natural language processing techniques and be well-equipped to tackle a wide range of NLP tasks. So, roll up your sleeves, fire up your Python interpreter, and let’s dive into the fascinating world of NLP!
    #Python #Natural #Language #Processing #NLP #Exercises #Basics #BERT,gan)
    to natural language processing (nlp)

  • Transformer, BERT, and GPT: Including ChatGPT and Prompt Engineering (MLI Generative AI Series)

    Transformer, BERT, and GPT: Including ChatGPT and Prompt Engineering (MLI Generative AI Series)


    Price: $54.99 – $22.19
    (as of Dec 27,2024 01:20:13 UTC – Details)




    Publisher ‏ : ‎ Mercury Learning and Information (December 15, 2023)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 364 pages
    ISBN-10 ‏ : ‎ 1683928989
    ISBN-13 ‏ : ‎ 978-1683928980
    Item Weight ‏ : ‎ 1.45 pounds
    Dimensions ‏ : ‎ 5.98 x 0.63 x 9.06 inches


    In this post, we dive into the world of Transformer, BERT, and GPT models, including a closer look at ChatGPT and the importance of prompt engineering in generative AI. Stay tuned for insights, comparisons, and tips on how to leverage these powerful tools in your machine learning projects. #MLI #GenerativeAI #Transformer #BERT #GPT #ChatGPT #PromptEngineering
    #Transformer #BERT #GPT #Including #ChatGPT #Prompt #Engineering #MLI #Generative #Series

  • Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT

    Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT


    Price: $33.99
    (as of Dec 26,2024 12:22:19 UTC – Details)




    ASIN ‏ : ‎ B08LLDF377
    Publisher ‏ : ‎ Packt Publishing; 1st edition (January 22, 2021)
    Publication date ‏ : ‎ January 22, 2021
    Language ‏ : ‎ English
    File size ‏ : ‎ 51136 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 352 pages
    Page numbers source ISBN ‏ : ‎ 1838821597

    Customers say

    Customers find the book provides a clear overview of BERT and simplifies many concepts for better understanding. It adds details and explanations beyond what is written in the research, making it a good starting point with many examples and applications. However, some customers report issues with the language, including unreadable superscripts, grammar and English mistakes, redundant language, and tiny text in figures.

    AI-generated from the text of customer reviews


    Are you interested in building and training state-of-the-art natural language processing models using Google BERT? Look no further! In this post, we will guide you through the process of getting started with Google BERT and show you how to create powerful NLP models.

    Google BERT, which stands for Bidirectional Encoder Representations from Transformers, is a pre-trained language representation model that has taken the NLP world by storm. It is known for its ability to understand the context of words in a sentence and produce more accurate results in tasks such as question answering, sentiment analysis, and text classification.

    To get started with Google BERT, you will first need to install the necessary libraries and tools, such as TensorFlow or PyTorch, and download the pre-trained BERT model. Once you have set up your environment, you can start fine-tuning the model on your own dataset to create a custom NLP model that suits your needs.

    In this post, we will walk you through the steps of building and training a BERT model, from tokenizing and preprocessing your text data to fine-tuning the model and evaluating its performance. We will also provide tips and best practices for optimizing your BERT model and achieving the best results.

    So, if you are ready to take your NLP skills to the next level and harness the power of Google BERT, stay tuned for our upcoming post on Getting Started with Google BERT!
    #Started #Google #BERT #Build #train #stateoftheart #natural #language #processing #models #BERT

  • Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

    Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more


    Price: $99.99 – $60.38
    (as of Dec 25,2024 14:50:47 UTC – Details)


    From the brand

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    Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

    Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

    We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

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    Publisher ‏ : ‎ Packt Publishing (January 28, 2021)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 384 pages
    ISBN-10 ‏ : ‎ 1800565798
    ISBN-13 ‏ : ‎ 978-1800565791
    Item Weight ‏ : ‎ 1.47 pounds
    Dimensions ‏ : ‎ 9.25 x 7.5 x 0.8 inches


    Transformers have revolutionized the field of Natural Language Processing (NLP) by enabling the development of powerful deep neural network architectures that are capable of handling complex language tasks with remarkable accuracy. In this post, we will explore how you can build innovative NLP models using Python, PyTorch, TensorFlow, BERT, RoBERTa, and other cutting-edge technologies.

    Transformers, such as BERT and RoBERTa, have become the go-to models for many NLP tasks due to their ability to capture long-range dependencies in text data and generate high-quality representations of language. By leveraging pre-trained transformer models and fine-tuning them on specific tasks, you can achieve state-of-the-art performance on a wide range of NLP challenges.

    To get started with building transformer-based NLP models, you can use popular deep learning frameworks like PyTorch and TensorFlow. These libraries provide powerful tools for creating, training, and deploying neural networks, making it easy to experiment with different architectures and techniques.

    In addition to using pre-trained transformer models, you can also explore techniques like attention mechanisms, self-attention, and positional encoding to enhance the performance of your NLP models. By combining these techniques with transformer architectures, you can build models that are capable of understanding and generating human-like text.

    Whether you are working on sentiment analysis, text classification, language translation, or any other NLP task, transformers offer a versatile and effective solution for handling complex language data. With the right tools and techniques, you can unlock the full potential of transformers and build innovative NLP models that push the boundaries of what is possible in natural language understanding.

    So, if you are interested in harnessing the power of transformers for NLP, start experimenting with Python, PyTorch, TensorFlow, BERT, RoBERTa, and other cutting-edge technologies today. With the right knowledge and skills, you can create groundbreaking NLP models that revolutionize how we interact with and understand language.
    #Transformers #Natural #Language #Processing #Build #innovative #deep #neural #network #architectures #NLP #Python #PyTorch #TensorFlow #BERT #RoBERTa