#Caffe Deep Learning Framework

🌇☕️💻 ~~~~~~~~ #data #analysis #coffee #coffeestudy #sunrise #setup #developers #developerlife #sap #bw

Generative Pretrained Transformers (GPTs) are a type of advanced language model that utilize the transformer architecture, a deep learning framework introduced by Vaswani et al. in 2017. Transformers are designed to handle sequential data, like text, but unlike earlier models (such as RNNs or LSTMs), they use something called a self-attention mechanism that allows them to weigh the importance of each word in a sentence relative to all others, regardless of position—enabling better understanding of context and relationships. GPT models are “pretrained” on massive amounts of text data to learn patterns in language, and then they can be fine-tuned or directly used for tasks like writing essays, summarizing articles, generating code, or even composing poetry. For example, GPT-3.5 can generate a news article from a headline, complete a user’s sentence, or answer questions about a novel’s plot—all by predicting the next most likely word in a sequence based on context. The model outputs probabilities for a singular next word prediction, and it predicts words one-by-one based on their probabilities until the output is fully generated. C: @3blue1brown Join our AI community for more posts like this @aibutsimple 🤖 #datascientist #computerengineering #deeplearning #computerscience #math #mathematics #ml #logisticregression #machinelearning #datascience #education #coding #programming #learning #courses #bootcamp #course

🚀 Agentic AI: The Future of Automation is Here From AI & ML → Deep Learning → Gen AI → AI Agents → Agentic AI, we’re entering a world where systems don’t just respond… they think, plan, and act autonomously. 🧠 Build smarter systems ⚙️ Automate complex workflows 🤖 Create self-improving agents This framework shows how everything connects — from core technologies to real-world execution. 💡 The question is: Are you just using AI… or building with it? 👇 Tell me in the comments: Which part excites you the most — Gen AI or AI Agents? #AgenticAI #ArtificialIntelligence #GenAI #AIAgents #MachineLearning #DeepLearning #FutureTech #Automation #TechExplained #CodeWithKshitij

The deeper, the better? 🤔 Today’s brew guide featuring CAFEC DEEP 27 FLOWER DRIPPER! It’s easy to use, and readily available at @contourcoffeeroaster ! #curatecoffeeroaster #curatecoffeeroastersmy

One of my favourite Deep Learning Series —> by 3Blue1Brown Crisp, clear & intuitive 🙌 #machinelearning #datascience #artificialintelligence #deeplearning #generativeai #3blue1brown

Is school oppressive? George Hotz, (geohot)—hacker, entrepreneur, and engineer. Known for iOS jailbreaks, reverse engineering the PS3. He founded comma.ai and has been working on tinygrad, a deep learning framework. Watch more Hack Club AMAs at hack.af/AMA #hackclub #GeorgeHotz #geohot #innovation #AI #TechEntrepreneur #ViralVideo #interview

Agentic Al isn't just a buzzword. It's a full stack. Here's the complete framework: Layer 1: AI & ML Turn data into decisions. Supervised, unsupervised, reinforcement learning. Layer 2: Deep Learning Multi-layered neural networks. CNNs, LSTMs, transformers. Layer 3: Gen Al Create new content. Text, image, audio, video generation. Layer 4: Al Agents Autonomous task execution. RAG, tool use, memory systems. Layer 5: Agentic Al Full automation with self-improvement, feedback loops, and governance. Each layer builds on the last. Skip one, and the system breaks. Over to you: Which layer are you currently building on? #ai #datascience #engineering #bca #coding

Kahraman Dubai brings world-class coffee education under one roof. From Sensory and Q Grade to SCA Roasting, our courses are built for those who take coffee seriously. Because great coffee isn’t just made… it’s understood. تجمع كهرمان دبي خبرات التدريب في مجال القهوة من مختلف أنحاء العالم ضمن تجربة متكاملة. نقدّم برامج متخصصة تشمل التذوّق الحسي، شهادة Q Grade، والتحميص وفق معايير SCA، بهدف تطوير المهارات والارتقاء بالمستوى المهني في هذا المجال. لأن القهوة المميزة لا تعتمد على التحضير فقط… بل على فهمها بعمق. Learn More: www.kahramandubai.com Dubai WhatsApp/Tel.: +971 4 388 7111 [email protected] #KahramanDubai #SpecialtyCoffee #CoffeeProfessionals #CoffeeCourses #SCACertified

☕️ happy saturday!! a tutorial from yt said you gotta stir when making french press coffee i tried and i think it made it.. taste fuller? 🤣 anyway lately I have been continuing my CSS lessons through The Odin Project. I have not made much progress since I've been prioritizing other things like work/sleep/etc. but im so excited for 2024 because I have a college application waiting for acceptance. 🥺 i have been thinking about what moves to make in 2024 and I found that writing them down makes it more apparent to me rather than "wishful thinking". have you started reflecting on 2023 and making plans for 2024? 😊

PaddlePaddle, developed by Baidu, is an open-source deep learning framework built with a strong focus on scalable training and real-world deployment. Unlike PyTorch, which is mainly favored for its fully dynamic and research-friendly nature, and TensorFlow, which emphasizes a mature production ecosystem, PaddlePaddle tries to balance both by supporting dynamic-to-static graph conversion for better performance during deployment. It stands out in large-scale distributed training through its built-in Fleet API and offers an end-to-end ecosystem (training, optimization, and serving), making it particularly suitable for industrial applications rather than purely academic research. This is a project utilising Paddlepaddle efficiency for real time person complete analysis, have 10+ attributes acting as a complete lens with which you can understand any person for example a guest in some place. This is the future 🔥 Comment for complete source code with datasets! #ai #ml #reelsinstagram #trending #datascience

👉 “Barista Skills Assessment | Mr. Muneeb Tested on Coffee Machine Components” #coffeeacademy #baristacourseislamabad #CoffeeTrainingCourse #baristatrainer

🤖Gen AI Zero to Expert Roadmap🏆 1️⃣Phase 1: Foundation 👉Basic Knowledge of AI and ML Understand AI Concepts: Study the basics of AI, machine learning (ML), and deep learning (DL). Mathematics for AI: Focus on linear algebra, calculus, probability, and statistics. 👉Programming Skills Learn Python: Master Python as it’s the primary language used in AI. Familiarity with Libraries: Get comfortable with NumPy, Pandas, Matplotlib, and Scikit-Learn. 👉Introduction to Deep Learning Study Neural Networks: Understand the basics of neural networks, including perceptrons and activation functions. Learn about TensorFlow and PyTorch: Get hands-on with these frameworks. 2️⃣Phase 2: Intermediate Skills 👉Advanced Deep Learning: Deep Learning Models: Learn about CNNs, RNNs, LSTMs, and GANs. Model Training: Study backpropagation, gradient descent, and optimization techniques. 👉Generative Models: Autoencoders: Understand the concept and applications of autoencoders. Variational Autoencoders (VAEs): Study VAEs for generating new data. Generative Adversarial Networks (GANs): Delve deep into GANs, their architecture, and training process. 👉Natural Language Processing (NLP) NLP Basics: Understand tokenization, stemming, lemmatization, and basic NLP tasks. Transformers and BERT: Study transformer architecture, attention mechanisms, and pre-trained models like BERT. 3️⃣Phase 3: Advanced Topics 👉Specialized Generative Models GPT (Generative Pre-trained Transformers): Learn about the architecture and training of GPT models. Diffusion Models: Study diffusion models for image and data generation. 👉Advanced Training Techniques Transfer Learning: Understand transfer learning and its application in fine-tuning models. Reinforcement Learning: Explore the basics of reinforcement learning and its intersection with generative models. 🏆 Follow @datasciencebrain #dsbrain for more amazing Data Science resources and News 📌Tag your friends who would like to know about this • • • #data #datascience #dataanalytics #dataanalysis #dataanalyst #datascientist #datacleaning #statistics #python #sql #dataengineering #engineering #pandas #datavisualization #machinelearning #deeplearning