Learn Python, Computer Vision, and ML with @digitalsreeni

Learn about deep learning with Python and get started with this comprehensive guide, including tutorials, examples, and code snippets using TensorFlow, Keras, and PyTorch https://lnkd.in/gheYKaSd #DeepLearningWithPython Read the full article https://lnkd.in/gheYKaSd

Learn about deep learning with Python and get started with this comprehensive guide, including tutorials, examples, and code snippets using TensorFlow, Keras, and PyTorch https://lnkd.in/gheYKaSd #DeepLearningWithPython Read the full article https://lnkd.in/gheYKaSd

Learn deep learning with Python and TensorFlow, including basics, key concepts, and practical applications, with expert perspectives and insights https://lnkd.in/dJ-gcFnK #DeepLearningWithPython Read the full article https://lnkd.in/dJ-gcFnK

The **AI Fundamentals** Bundle  🤖 Course 4 — Machine Learning: Primer Module GenAI is built on ML foundations. Clustering, classification, regression, and ML workflows including MLOps basics. #AIFundamentals #GenAI #MachineLearning #DataScience #Python #LearningAndDevelopment #Upskilling #Grokkers

💡 Prompt Engineering Challenge – Can you pick the best one? Not all prompts are created equal. The way you ask matters just as much as what you ask. 🧠 Drop your answer in the comments — which option is the MOST effective? --- 🚀 Learning side by side: 🐍 Python + 🤖 Prompt Engineering = Powerful combo for the future ✔ Be clear and specific ✔ Give context and constraints ✔ Ask for structured output ✨ Quick insight: Better prompts → Better answers Clarity + context = powerful results Small improvements in prompts can level up your AI skills --- Keep learning. Keep experimenting. Keep improving. #PromptEngineering #Python #AI #Learning #TechSkills #FutureOfWork #AItools #Upskill

so, I’ve been thinking a lot about how to level up in Python and PyTorch for ML. While exploring, I came across Sagar Chouksey ’s content and honestly, it felt like it appeared at just the right time. His videos cover Python, OpenCV, PyTorch, and core ML concepts in a way that gives you a solid “feel” for the field, especially if you're just getting started or looking for a quick crash course. It’s not just about learning syntax, but understanding how things come together in real applications and that’s what stood out to me. If you're curious about ML or want a structured starting point, I’d definitely recommend checking it out (links in comments). Looking forward to diving deeper into more in-depth Computer Vision and ML lectures from him. #MachineLearning #PyTorch #Python #OpenCV #Learning #AI

Most people think AI is complicated. But here’s something simple I built in Python 👇 I trained a model that can recognize human emotions from images No huge team. No expensive setup. Just Python + curiosity. What surprised me most? 👉 Even a simple model can give powerful results. This made me realize: You don’t need to be an expert to start building AI. You just need to start. What’s something cool you’ve built recently? 👇 #Python #MachineLearning #AI #Coding #LearningInPublic

Day 3 of my AIML journey 🚀 Started with Python basics… Now stepping into Machine Learning 🤖 Today I learned: → What is Machine Learning → Types of ML (Supervised vs Unsupervised) Still a bit confused 😅 Trying to understand it step by step Anyone learning AI like me? 👇 #AI #MachineLearning #Python #AIML #100DaysOfCode #LearningInPublic

Learn how to create a simple neural network with Python and Keras in this comprehensive guide, including practical examples and code snippets, with a focus on Python neural network development https://lnkd.in/gsKBMPBY #PythonNeuralNetwork Read the full article https://lnkd.in/gsKBMPBY

AI agents are emerging as a powerful tool for helping devs get things done. And in this tutorial, Tarun walks you through building your own agent using Gemini in Python. Your AI Study Planner agent will be able to remember your conversation history & use a search tool to access relevant online resources. https://lnkd.in/gerEK_4U