Interviews with creators making cool things in Laravel
…
continue reading
Welcome to DejaVue, the Vue podcast you didn't know you needed until now! Join Michael Thiessen and Alexander Lichter on a thrilling journey through the world of Vue and Nuxt. Get ready for weekly episodes packed with insights, updates, and deep dives into everything Vue-related. From component libraries to best practices, and beyond, they've got you covered.
…
continue reading
Real life code talk between two working developers.
…
continue reading
Jacob Bennett and Michael Dyrynda conquer a 14.5 hour time difference to talk about life as web developers
…
continue reading
Stay up-to-date with the JavaScript and Open-Source communities with the 20MinJS podcast. We publish interviews to members of our communities and discuss new and exciting technologies that are shaping the web ecosystem.Hosted by OpenReplay, an open-source session replay tool for developers.
…
continue reading
This is a podcast by two web.dev dads in Sweden. We are very involved in running, maintaining and being a part of the Swedish Laravel community. That is where this podcast sprung from, the LaravelSE community. But we are about so much more than just Laravel, we also love frontend development, backend development, solution architecting, all things web, tech and gadgets. Besides talking about all of the things above, we also chitchat about being dads, life, hipster-ing and much more. Note: We ...
…
continue reading
Vue is a growing front-end framework for web developments. Hear experts cover technologies and movements within the Vue community by talking to members of the open source and development community.
…
continue reading
The stories and people behind the code. Hear stories of software development from interesting people.
…
continue reading
The only engineering podcast with a 2 drink minimum! Full stack developers Jared Palmer and Ken Wheeler have peer-to-peer conversations with world-class engineers about software development.
…
continue reading
Two foreign developers discuss Laravel & PHP Development, the business of marketing, and more. About Victor Gonzalez Victor manages marketing for one of the nation's fastest growing boat manufacturers, a role that has seen him honored with the MMA Award for the Best Website in the Boating Industry. After hours, Victor produces web development tutorials at Coder's Tape, along with paid courses for Udemy. About Jani Gyllenberg Jani tackles business development and innovation at one of the nati ...
…
continue reading
Tech tales from Workshop.me instructors and attendees.
…
continue reading
Explore Bay is a Audio Podcast and Channel That Provide Amazing Latest Information About Internet, Trending Topics And Music and All Other Things in One Platform.
…
continue reading
You know the project; you might even use it daily, but do you know the story behind it? Georgy Marchuk and Tomáš Řehoř invite the top minds and risings stars of the open-source world to talk about their journeys.
…
continue reading
Evrone is an engineering company successfully delivering high-quality digital products for more than nine years. With extensive experience in a wide range of modern software technologies, we are here to help you to design unique complex web projects and startups. Our websites: https://evrone.com/ https://evrone.ru
…
continue reading
Word On The Street is a Audio Podcast and Channel That Provide Amazing Latest Information About Programming, Abroad Education aend Leather Bags and All Other Things in One Platform.
…
continue reading
Welcome to "The AI Chronicles", the podcast that takes you on a journey into the fascinating world of Artificial Intelligence (AI), AGI, GPT-5, GPT-4, Deep Learning, and Machine Learning. In this era of rapid technological advancement, AI has emerged as a transformative force, revolutionizing industries and shaping the way we interact with technology. I'm your host, GPT-5, and I invite you to join me as we delve into the cutting-edge developments, breakthroughs, and ethical implications of A ...
…
continue reading
Where I discuss what it's like being a first-time CTO and Co-Founder. The joys, the decision, and the challenges. I hope this helps others in similar situations or aspire to the same.
…
continue reading
In the Mr Frontend Community podcast I try to help People who are (starting) in programming, web development, frontend development, backend development to keep motivated and firedup!
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Vue.js: The Progressive JavaScript Framework for Modern Web Applications
6:59
6:59
Play later
Play later
Lists
Like
Liked
6:59
Vue.js is an open-source JavaScript framework used for building user interfaces and single-page applications. Created by Evan You in 2014, Vue.js has quickly gained popularity among developers for its simplicity, flexibility, and powerful features. It is designed to be incrementally adoptable, meaning that it can be used for everything from enhanci…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Ruby: A Dynamic, Elegant Programming Language for Web Development and Beyond
3:44
3:44
Play later
Play later
Lists
Like
Liked
3:44
Ruby is a dynamic, open-source programming language known for its simplicity, elegance, and productivity. Created by Yukihiro "Matz" Matsumoto in the mid-1990s, Ruby was designed with the principle of making programming both enjoyable and efficient. The language’s intuitive syntax and flexibility make it a favorite among developers, especially for …
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
TypeScript and Content Creation (with Matt Pocock)
57:17
57:17
Play later
Play later
Lists
Like
Liked
57:17
This episode of DejaVue includes not only knowledge but also a certain degree of magic, as Alex and Michael meet up with the one and only TypeScript Wizard Matt Pocock. Together, they talk about how he became a full-time educator and what the pros and cons are, then of course discussing everything around TypeScript - from Types vs. Interfaces, any …
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
ReactJS: A Powerful Library for Building Dynamic User Interfaces
5:09
5:09
Play later
Play later
Lists
Like
Liked
5:09
ReactJS is a popular open-source JavaScript library used for building user interfaces, particularly single-page applications where a seamless user experience is key. Developed and maintained by Facebook, ReactJS has become a cornerstone of modern web development, enabling developers to create complex, interactive, and high-performance user interfac…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Apache Spark: The Unified Analytics Engine for Big Data Processing
29:04
29:04
Play later
Play later
Lists
Like
Liked
29:04
Apache Spark is an open-source, distributed computing system designed for fast and flexible large-scale data processing. Originally developed at UC Berkeley’s AMPLab, Spark has become one of the most popular big data frameworks, known for its ability to process vast amounts of data quickly and efficiently. Spark provides a unified analytics engine …
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Clojure: A Dynamic, Functional Programming Language for the JVM
3:43
3:43
Play later
Play later
Lists
Like
Liked
3:43
Clojure is a modern, dynamic, and functional programming language that runs on the Java Virtual Machine (JVM). Created by Rich Hickey in 2007, Clojure is designed to be simple, expressive, and highly efficient for concurrent programming. It combines the powerful features of Lisp, a long-standing family of programming languages known for its flexibi…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Caffe: A Deep Learning Framework for Speed and Modularity
3:18
3:18
Play later
Play later
Lists
Like
Liked
3:18
Caffe is an open-source deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and contributed to by a global community of researchers and engineers. Designed with an emphasis on speed, modularity, and ease of use, Caffe is particularly well-suited for developing and deploying deep learning models, especially in the fie…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Nimfa: A Python Library for Non-negative Matrix Factorization
5:43
5:43
Play later
Play later
Lists
Like
Liked
5:43
Nimfa is a Python library specifically designed for performing Non-negative Matrix Factorization (NMF), a powerful technique used in data analysis to uncover hidden structures and patterns in non-negative data. Developed to be both flexible and easy to use, Nimfa provides a comprehensive set of tools for implementing various NMF algorithms, making …
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Mingle JS - Use React or Vue components in Livewire with Patricio
35:20
35:20
Play later
Play later
Lists
Like
Liked
35:20
We are joined by @PatricioOnCode to talk about Mingle JS which allows you to mix React and Vue components in Livewire. EPISODE LINKS: * Mingle JS https://minglejs.unitedbycode.com * PHP WASM https://www.youtube.com/watch?v=L-MAzsDm5d0 * Play with Laravel, save the code, and share it with others https://github.com/ijpatricio/playwithlaravel * VoxPop…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
FastAPI: High-Performance Web Framework for Modern APIs
6:30
6:30
Play later
Play later
Lists
Like
Liked
6:30
FastAPI is a modern, open-source web framework for building APIs with Python. Created by Sebastián Ramírez, FastAPI is designed to provide high performance, easy-to-use features, and robust documentation. It leverages Python's type hints to offer automatic data validation and serialization, making it an excellent choice for developing RESTful APIs …
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Remote pairing around rounding errors with a pint
52:42
52:42
Play later
Play later
Lists
Like
Liked
52:42
In this episode, Jake and Michael discuss (inadvertently) bathing keyboards, pairing with remote colleagues and friends, using rational numbers to deal with rounding errors (sort of), and running code style fixers in CI or as a pre-commit hook. Show links Tuple Laramates Around brick/math brick/money Pint Running Pint on GitHub Actions Husky Whisky…
…
continue reading
It was teased in the last episode already and here it - Michael and Alex talk about the current hype in the front end development community: Signals. But if you as a Vue developer don't feel hyped around it and maybe even didn't hear much around it, fear no more - that is normal and will be explained in the episode too. Join the two Vue experts cov…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
NetBeans: A Comprehensive Integrated Development Environment
4:23
4:23
Play later
Play later
Lists
Like
Liked
4:23
NetBeans is a powerful, open-source integrated development environment (IDE) used by developers to create applications in various programming languages. Initially developed by Sun Microsystems and now maintained by the Apache Software Foundation, NetBeans provides a robust platform for building desktop, web, and mobile applications. It supports a w…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Area Under the Curve (AUC): A Comprehensive Metric for Evaluating Classifier Performance
5:24
5:24
Play later
Play later
Lists
Like
Liked
5:24
The Area Under the Curve (AUC) is a widely used metric in the evaluation of binary classification models. It provides a single scalar value that summarizes the performance of a classifier across all possible threshold values, offering a clear and intuitive measure of how well the model distinguishes between positive and negative classes. The AUC is…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Non-Negative Matrix Factorization (NMF): Uncovering Hidden Patterns in Data
7:43
7:43
Play later
Play later
Lists
Like
Liked
7:43
Non-Negative Matrix Factorization (NMF) is a powerful technique in the field of data analysis and machine learning used to reduce the dimensionality of data and uncover hidden patterns. Unlike other matrix factorization methods, NMF imposes the constraint that the matrix elements must be non-negative. This constraint makes NMF particularly useful f…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Signal Detection Theory (SDT): Understanding Decision-Making in the Presence of Uncertainty
4:51
4:51
Play later
Play later
Lists
Like
Liked
4:51
Signal Detection Theory (SDT) is a framework used to analyze and understand decision-making processes in situations where there is uncertainty. Originating in the fields of radar and telecommunications during World War II, SDT has since been applied across various domains, including psychology, neuroscience, medical diagnostics, and market research…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
AngularJS: Revolutionizing Web Development with Dynamic Applications
5:57
5:57
Play later
Play later
Lists
Like
Liked
5:57
AngularJS is a powerful JavaScript-based open-source front-end web framework developed by Google. Introduced in 2010, AngularJS was designed to simplify the development and testing of single-page applications (SPAs) by providing a robust framework for client-side model–view–controller (MVC) architecture. It has significantly transformed the way dev…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Expectation-Maximization Algorithm (EM): A Powerful Tool for Data Analysis
4:24
4:24
Play later
Play later
Lists
Like
Liked
4:24
The Expectation-Maximization (EM) algorithm is a widely-used statistical technique for finding maximum likelihood estimates in the presence of latent variables. Developed by Arthur Dempster, Nan Laird, and Donald Rubin in 1977, the EM algorithm provides an iterative method to handle incomplete data or missing values, making it a cornerstone in fiel…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Git Hooks Made Easy: How Whisky Helps Developers with Len Woodward
24:39
24:39
Play later
Play later
Lists
Like
Liked
24:39
We talk with Len Woodward about his project Whisky. Whisky is the simplest, framework-agnostic, CLI tool for managing and enforcing a php project's git hooks across an entire team. Show Links: * [Len's GitHub](https://github.com/ProjektGopher) * [Len's Website](https://LenWoodward.com) * [Len's Twitter](https://x.com/ProjektGopher) * [Len's YouTube…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Kotlin: A Modern Programming Language for the JVM and Beyond
7:05
7:05
Play later
Play later
Lists
Like
Liked
7:05
Kotlin is a contemporary programming language developed by JetBrains, designed to be fully interoperable with Java while offering a more concise and expressive syntax. Introduced in 2011 and officially released in 2016, Kotlin has rapidly gained popularity among developers for its modern features, safety enhancements, and seamless integration with …
…
continue reading
Join Alex and Michael on a talk about a key topic in Vue.js - the reactivity system. Before diving into how it works in Vue 3, reactivity in Vanilla JS is covered. Then, the differences between the major Vue versions are discussed, showing an astonishing evolution in terms of DX but also performance when it comes to reactivity. Of course, the ref v…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Dynamic Topic Models (DTM): Capturing the Evolution of Themes Over Time
5:00
5:00
Play later
Play later
Lists
Like
Liked
5:00
Dynamic Topic Models (DTM) are an advanced extension of topic modeling techniques designed to analyze and understand how topics in a collection of documents evolve over time. Developed to address the limitations of static topic models like Latent Dirichlet Allocation (LDA), DTMs allow researchers and analysts to track the progression and transforma…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
False Positive Rate (FPR): A Critical Metric for Evaluating Classification Accuracy
6:14
6:14
Play later
Play later
Lists
Like
Liked
6:14
The False Positive Rate (FPR) is a crucial metric used to evaluate the performance of binary classification models. It measures the proportion of negative instances that are incorrectly classified as positive by the model. Understanding FPR is essential for assessing how well a model distinguishes between classes, particularly in applications where…
…
continue reading
Things are in full swing. There are many things we cannot say. We are both slammed trying to get everything done for Laracon. Which led to this not being put out very quickly.By Daniel Coulbourne & Caleb Porzio
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
False Negative Rate (FNR): Understanding Missed Predictions in Classification Models
5:42
5:42
Play later
Play later
Lists
Like
Liked
5:42
The False Negative Rate (FNR) is a critical metric used to evaluate the performance of binary classification models, particularly in applications where failing to identify positive instances can have significant consequences. FNR measures the proportion of actual positive instances that are incorrectly classified as negative by the model. This metr…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
True Positive Rate (TPR): A Key Metric for Assessing Classifier Performance
8:00
8:00
Play later
Play later
Lists
Like
Liked
8:00
The True Positive Rate (TPR), also known as sensitivity or recall, is a fundamental metric used to evaluate the performance of binary classification models. TPR measures the proportion of actual positive instances that are correctly identified by the model, making it crucial for applications where correctly identifying positive cases is essential, …
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Law of Large Numbers (LLN): The Principle Behind Consistent Averages
3:58
3:58
Play later
Play later
Lists
Like
Liked
3:58
The Law of Large Numbers (LLN) is a fundamental concept in probability theory and statistics that describes how the average of a large number of trials converges to the expected value as the number of trials increases. Essentially, the LLN guarantees that as a sample size grows, the sample mean will get closer and closer to the population mean, pro…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
True Negative Rate (TNR): A Critical Metric for Evaluating Classifier Performance
4:51
4:51
Play later
Play later
Lists
Like
Liked
4:51
The True Negative Rate (TNR), also known as specificity, is a crucial metric in the evaluation of binary classification models. TNR measures the proportion of actual negative instances that are correctly identified by the model. It is particularly important in applications where accurately identifying negative cases is as critical as identifying po…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Matthews Correlation Coefficient (MCC): A Robust Metric for Evaluating Binary Classifiers
5:30
5:30
Play later
Play later
Lists
Like
Liked
5:30
The Matthews Correlation Coefficient (MCC) is a comprehensive metric used to evaluate the performance of binary classification models. Named after British biochemist Brian W. Matthews, MCC takes into account true and false positives and negatives, providing a balanced measure even when classes are imbalanced. It is particularly valued for its abili…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Building Desktop Applications using Native PHP with Simon Hamp
33:15
33:15
Play later
Play later
Lists
Like
Liked
33:15
In this episode, we are joined by Simon Hamp, the creator of Native PHP, about the project and its potential. Native PHP is a tool that allows developers to build desktop applications using PHP and distribute them without requiring PHP on the user's machine. Show Links: * NativePHP * Cronikl * Awesome NativePHP * LaraDir…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Receiver Operating Characteristic (ROC) Curve: A Key Tool for Evaluating Classification Models
5:19
5:19
Play later
Play later
Lists
Like
Liked
5:19
The Receiver Operating Characteristic (ROC) curve is a fundamental tool used in the evaluation of classification models. It is particularly useful for assessing the performance of binary classifiers by visualizing the trade-offs between true positive rates and false positive rates at various threshold settings. The ROC curve provides a comprehensiv…
…
continue reading
In this episode, Jake and Michael discuss different approaches to configuring a Laravel app, for consistency, security, and shareability among a team and across environments. Show links Australian men on the phone to each other Go ahead, delete your .env.example fileBy Jacob Bennett and Michael Dyrynda
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Documentation and Migration: From Vue 2 to Vue 3 (with Natalia Tepluhina)
1:21:57
1:21:57
Play later
Play later
Lists
Like
Liked
1:21:57
For the 20th episode we surprise you with a "in-person" podcast episode! Alex is joined by Principal Engineer and Vue Core Team Member Natalia Tepluhina to talk about two important topics - Documentation and the Migration from Vue 2 to Vue 3. Learn in this episode what Natalia does in the core team, how difficult writing docs is and how to improve …
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Correlated Topic Model (CTM): Enhancing Topic Modeling with Correlation Structures
6:16
6:16
Play later
Play later
Lists
Like
Liked
6:16
The Correlated Topic Model (CTM) is an advanced probabilistic model developed to address the limitations of traditional topic modeling techniques like Latent Dirichlet Allocation (LDA). Introduced by David Blei and John Lafferty in 2006, CTM enhances topic modeling by capturing correlations between topics, providing a more nuanced and realistic rep…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Tanh (Hyperbolic Tangent): A Widely-Used Activation Function in Neural Networks
5:26
5:26
Play later
Play later
Lists
Like
Liked
5:26
The Tanh (Hyperbolic Tangent), is a widely-used activation function in neural networks. Known for its S-shaped curve, the Tanh function maps any real-valued number to a range between -1 and 1, making it a symmetric function around the origin. This symmetry makes it particularly effective for neural networks, providing both positive and negative out…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Behind the Mic: Adam Gordon Bell on Communication with Software Misadventures Podcast
1:03:40
1:03:40
Play later
Play later
Lists
Like
Liked
1:03:40
Today the tables have turned and you're going to hear someone interview me. Ronak and Guang from the Software Misadventures podcast are going to interview me about podcasting. My history as a software developer and I guess this big idea. That I don't think I've shared too much about the importance of communication. More details including a video ve…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Sigmoid Function: The Key to Smooth, Non-Linear Activation in Neural Networks
4:24
4:24
Play later
Play later
Lists
Like
Liked
4:24
The sigmoid function is a fundamental mathematical function used extensively in machine learning, particularly in the context of neural networks. Its characteristic S-shaped curve makes it ideal for scenarios requiring smooth, non-linear transitions. Core Features of the Sigmoid Function Smooth Non-Linearity: The sigmoid function introduces smooth …
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Deep LIME (DLIME): Bringing Interpretability to Deep Learning Models
4:00
4:00
Play later
Play later
Lists
Like
Liked
4:00
Deep LIME (DLIME) is an advanced adaptation of the original LIME (Local Interpretable Model-agnostic Explanations) framework, specifically designed to provide interpretability for deep learning models. As deep learning models become increasingly complex and widely used, understanding their decision-making processes is critical for building trust, e…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
LIME-SUP (LIME for Sequential and Unsupervised Problems): Extending Interpretability to Complex Models
5:42
5:42
Play later
Play later
Lists
Like
Liked
5:42
LIME-SUP, short for Local Interpretable Model-agnostic Explanations for Sequential and Unsupervised Problems, is an advanced extension of the LIME framework. Developed to address the interpretability challenges in sequential and unsupervised machine learning models, LIME-SUP provides insights into how these complex models make predictions and gener…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
SHAP (SHapley Additive exPlanations): Unveiling the Inner Workings of Machine Learning Models
4:18
4:18
Play later
Play later
Lists
Like
Liked
4:18
SHAP, short for SHapley Additive exPlanations, is a unified framework designed to interpret the predictions of machine learning models. Developed by Scott Lundberg and Su-In Lee, SHAP leverages concepts from cooperative game theory, particularly the Shapley value, to provide consistent and robust explanations for model predictions. By attributing e…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
Built With Laravel featuring Matt Stauffer
24:00
24:00
Play later
Play later
Lists
Like
Liked
24:00
Today, Matt Stauffer joined us to discuss his newest project, BuiltWithLaravel, a list of companies and organizations using Laravel in the non-Laravel world. This is the list to use when you want to show someone how widespread Laravel's adoption is. Show links * BuiltWithLaravel: https://builtwithlaravel.com * Tighten: https://tighten.com/ * Fieldg…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
LIME (Local Interpretable Model-agnostic Explanations): Demystifying Machine Learning Models
8:10
8:10
Play later
Play later
Lists
Like
Liked
8:10
LIME, short for Local Interpretable Model-agnostic Explanations, is a technique designed to provide interpretability to complex machine learning models. Developed by researchers Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin, LIME helps understand and trust machine learning models by explaining their predictions. It is model-agnostic, meani…
…
continue reading
Are you using Nuxt and want to hear some insights you weren't aware of? Perfect! Then this DejaVue podcast episode is what you need. Michael and Alex are going through more than five big tips around Nuxt, from features under the radar over to a big chunk of amazing benefits and why they exist, all from Michael's Nuxt Tips Collection* which releases…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
GPT-4o: The Next Generation of AI Language Models
4:31
4:31
Play later
Play later
Lists
Like
Liked
4:31
GPT-4o, short for Generative Pre-trained Transformer 4 O, is the latest iteration of OpenAI's groundbreaking series of language models. Building upon the success of its predecessors, GPT-4o brings significant advancements in natural language understanding and generation. This state-of-the-art model continues to push the boundaries of what artificia…
…
continue reading
![Artwork](/https/player.fm/static/images/128pixel.png)
1
SimCLR: Simple Framework for Contrastive Learning of Visual Representations
5:00
5:00
Play later
Play later
Lists
Like
Liked
5:00
SimCLR (Simple Framework for Contrastive Learning of Visual Representations) is a pioneering approach in the field of self-supervised learning, designed to leverage large amounts of unlabeled data to learn useful visual representations. Developed by researchers at Google Brain, SimCLR simplifies the process of training deep neural networks without …
…
continue reading