Lemay.ai’s Post

"Proud to have wrapped up the Basic Image Classification with TensorFlow guided project! 🖥️📚 Building a neural network to classify handwritten digits was both challenging and rewarding. Ready to tackle more complex AI challenges ahead! 💡 #DeepLearning #NeuralNetworks #AI #TensorFlow"

TensorFlow is a powerful and versatile framework for building and deploying machine learning models. From the basics of handling tensors to advanced concepts like distributed training, TensorFlow provides the tools necessary for both beginners and experts. Whether you're developing a simple neural network or a complex AI system, TensorFlow has the capabilities to scale with your needs. #TensorFlow #MachineLearning #DeepLearning #AI #ArtificialIntelligence #NeuralNetworks #Keras #DataScience #NLP #ImageRecognition #ReinforcementLearning #TransferLearning #TensorFlowHub #DistributedTraining #DeepLearningModels #AIApplications #TechTutorial #MLFramework #AdvancedTensorFlow #AIUseCases #nasrullahmahar

"Excited to announce that I've completed a course on basic Image Classification with TensorFlow! 🌟 Through this journey, I've gained hands-on experience in building and training models to recognize patterns in images. Looking forward to applying these skills to solve real-world problems! #TensorFlow #ImageClassification #AI #MachineLearning"

How to Build a Custom Optimizer in PyTorch: 5 Simple Steps via #TowardsAI → https://bit.ly/3Y2UXTB

Day 0 of my 50-Day PyTorch Challenge: Introduction and Goals I'm excited to embark on a 50-day journey to deepen my understanding of PyTorch and master advanced concepts in deep learning. Over the next 50 days, I will be diving into the world of PyTorch, sharing my progress, insights, and challenges along the way. I will be using the following resources to guide my learning: PyTorch Official Documentation: https://lnkd.in/dHSUfFFj Learn PyTorch: https://lnkd.in/duE-_4Tc Goals for This Challenge: Understand PyTorch Fundamentals Master Advanced Concepts Build Real-World Projects What to Expect: Daily Updates: I will post daily updates on my progress, including key learnings, code snippets, and any challenges I encounter. Engagement: I welcome feedback, questions, and suggestions from the community. Let's learn and grow together! #PyTorch #DeepLearning #MachineLearning #AI #50DayChallenge PyTorch DeepLearning.AI Artificial Intelligence, Machine Learning & Data Science - AIMLDS Group

A wonderful hands on course in Coursera on Fine Tune BERT for text classification with Tensor flow. Getting tuned for the next journey of AI & ML

OpenAI just dropped a bombshell with their new AI model: o1, aka "Strawberry." 🍓 Here’s why everyone’s talking about it: - It’s smarter than most humans in competitive programming (top 89%) & math competitions (83% accuracy in IMO qualifiers). - It can solve PhD-level physics, bio, and chem problems. - Two versions: one for high-stakes tasks and another that’s 80% cheaper. But there’s a catch: - It’s pricier and slower than GPT-4o. - No web browsing or image features (yet). Still, it’s a HUGE leap forward in reasoning. — I share my learning journey here. Join me and let's grow together. Enjoy this? Repost it to your network and follow Karn Singh for more. #AI #OpenAI #Innovation #TechUpdates

How to Build a Custom Optimizer in PyTorch: 5 Simple Steps via #TowardsAI → https://bit.ly/3Y2UXTB

Just finished “Build Your Own GPTs” by Alina Zhang! 🎉 This course offers an insightful look into building AI models with practical applications. If you’re interested in understanding the fundamentals of creating your own GPT-powered tools, this is a must-watch. Highly recommend checking it out! Explore more here: LinkedIn Learning Certificate #AI #GPT #Learning #TechSkills 57fec1080f88552974779778da726b0b2e021ac06f4ae16316e43441c12d90ca?trk=share_certificate #chatbotdevelopment.

Hey Everyone! I’m excited to share a new project I’ve added to my portfolio: a Shakespeare Language Model built using Transformer architecture in PyTorch. Inspired by Andrej Karpathy’s "Zero to Hero" series, this model can generate Shakespeare-style text using both character-level and token-level predictions. Key takeaways from this project include a deeper understanding of multi-head attention in transformers, handling large datasets on limited hardware, and working with the OpenAI API for text tokenization. Check out the details and code on my GitHub: https://lnkd.in/ezhdPGyk #AI #MachineLearning #Transformers #PyTorch #LanguageModels