#Torch Deep Learning Framework

PyTorch – Deep Learning and AI Framework

Comment "CV" to get resources to learn computer vision :) . . . . Follow @tuba.captures for more . . . . . . #computervision #cstudents #100DaysOfCoding #fyp #explore

The PyTorch for Deep Learning Professional Certificate is live 🔥 This certificate, led by Laurence Moroney, teaches you how to build, optimize, and deploy deep learning systems using PyTorch, the most widely adopted deep learning framework of today. Through hands-on projects, you’ll create image classifiers, fine-tune pretrained models, and prepare optimized systems for deployment. You’ll work directly with tensors and training loops, apply computer vision and NLP using TorchVision and Hugging Face, design architectures like ResNets, Transformers, and Diffusion models, and prepare models for deployment with ONNX, MLflow, pruning, and quantization. The program consists of 3 courses: 📘 PyTorch: Fundamentals 📗 PyTorch: Techniques and Ecosystem Tools 📙 PyTorch: Advanced Architectures and Deployment Build the foundation that makes advanced AI possible. Start today. Go to the link in bio or comment "DL" to receive the link in your inbox.

TensorFlow vs PyTorch for Deep Learning Crack big tech at algomap.io! #coding #leetcode #programming #interview

🔍 Curious about PyTorch? Let's break down this powerful machine learning framework in 64 seconds! PyTorch helps developers: 🚀 Build and train neural networks faster 🔄 Create dynamic computational graphs 🎯 Deploy models with production-level performance ⚡️ Accelerate development with pre-trained models Perfect for: 📊 Data scientists exploring deep learning 💻 Developers building AI applications 🎓 Students learning machine learning Ready to supercharge your ML projects? Try the Amazon Graviton optimized binaries for PyTorch! Get started via link in bio 🔗 Follow @awsdevelopers for more cloud content ————————— 🏷 #AWS #MachineLearning #PyTorch #ArtificialIntelligence #CloudComputing

Day #1 of my Daily PyTorch Series ⚡ Today’s topic: Intro to google colab This series will take you from beginner to building deep learning models with PyTorch — one reel at a time. 👉 Save this if you want to learn PyTorch step by step 👉 Share with a friend learning ML 👉 Comment your doubts below #PyTorch #LearnPyTorch #DeepLearning #MachineLearning #NeuralNetworks #AI #DataScience #PythonProgramming #CodingLife #TechReels #Edutok #DailyLearning

⬇️ Forward this reel to my dm for link!!! Machine Learning: Learns patterns from data and makes predictions without being explicitly programmed. It improves automatically as it sees more examples. PyTorch: A deep-learning framework used to build and train neural networks easily. Loved because it feels like Python, flexible, and great for research + production. Deep Learning: A subset of ML that uses multi-layer neural networks to learn complex patterns. It powers things like image recognition, speech, and modern AI models. #machinelearning #artificialintelligence #tech #viral #education #college #students #interview #placement #oncampus #offcampus #explore

Day 17 of LLMS Pytorch and Tensorflow - for DL #datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency

The AI conversation is moving beyond basic prompts. If you want to build truly intelligent and reliable AI agents, you need to understand the real next step: Context Engineering. What is it? LangChain explains it best: Think of the LLM as your CPU (the processor) and the context window as your RAM (the working memory). Mastering how to manage that "RAM" is the key to unlocking an AI's true potential. To get you up to speed, here are 3 essential blogs that will teach you everything you need to know: 1️⃣ Anthropic — Effective Context Engineering for AI Agents From the team behind Claude, this is Prompt Engineering 2.0. They break down how to design structured context windows that reliably steer your model's behavior and performance. 2️⃣ LangChain — Context Engineering Deep Dive This is your fundamental guide. Learn the mechanics of how to write, select, compress, and isolate context. It’s a masterclass in how AI "remembers" while it thinks. 3️⃣ Manus — Context Engineering Lessons from Building Agents A gem from the trenches. The Manus team shows their playbook for shipping complex AI agent features in hours instead of weeks, all by mastering context instead of retraining models. If you've heard the phrase "context is the new data," these resources are where you'll finally understand what it means in practice. So, which one are you reading first? Let me know in the comments → 1, 2, or 3? 👇 For more AI ideas made simple, make sure to follow Builders Central! #ContextEngineering #PromptEngineering #AI #LLM #ArtificialIntelligence #Developer #LangChain #Anthropic #Claude3 #AIAgents #MachineLearning #BuildersCentral

🚀There is an emerging open source AI compute stack: PyTorch + vLLM + Ray + Kubernetes As AI workloads have evolved from classical ML to deep learning to generative AI, the software stack for running and scaling them has grown drastically in complexity. Teams need a unified way to connect AI workloads to compute resources efficiently. TLDR on the stack: 🔹PyTorch powers model development and training 🔹vLLM delivers fast, efficient inference for large models 🔹Ray distributes and scales compute across nodes and clusters 🔹Kubernetes orchestrates containers and resources With Ray’s recent move to the Linux Foundation, all four of these open source projects now sit under the same umbrella - forming a unified stack that’s becoming the foundation of modern AI infrastructure in production

😮‍💨ÜCRETSİZ KURS - Chatgpt’yi adım adım yapmak. Birlikte chatgpt yapıyoruz. İlk adım yapay zeka temellerini öğrenmek. Bir haftalık bu kursu ücretsiz olarak yapabilirsiniz. Kursa göz at’a tıklamanız yeterli. Atom, chatgpt, bilim, yapay zeka, üni, girişim, kimya, kod

🤔 Now! What’s your reason for not learning AI? 👇 Whatever Tech Stack you love, there’s an AI framework for you ... Python, C#, Dart, JavaScript, Kotlin, Java, PHP, Go … 1. LangChain for Python & JS 2. Microsoft Agent Framework for C# 3. DartAntic AI for Flutter devs 4. Spring AI by Alibaba for Java 5. Koog for Kotlin 6. Neuron AI for PHP 7. GenKit for Go So next time you say, "AI isn’t for me" - think again 👀 It’s not about switching careers… it’s about supercharging your existing one ⚡ Save this post if you’re serious about becoming an AI-ready developer 🧑‍💻🔥 Follow @navokitech #aiforbeginners #softwareengineer #mobileappdevelopment #peoplewhocode #coding #computerscience #100daysofcode #navoki #programming #programmerslife💻 #aicreator #careertips #programming #codinglife #thedevlife #programmerlife #programminglife #developerlife #girlswhocode  #generativeai #learnai #roadmap