Akash Yadav’s Post

🤔 Day 1: Being foreign to how ML models work fundamentally, I begin my applied GenAI studies with theory 😅 Today, I am sharing a playlist that has been highly recommended for understanding the concept with visual aids - from explaining neural networks, layers, parameters, training, and more. Happy learning #GeneraiveAI #0to100xengineer

Activation Functions: The Gatekeepers of Neural Networks. Check out my latest article on Medium: https://lnkd.in/dJEb-J4w When Activation Functions Invited to Party , The Fun learning : #Deeplearning #machinelearning #activationfunctions

I just finished recording and uploading a video on Youtube titled: "Understanding Chain Rule: The backbone of neural networks" I spent 2 days designing this lecture and coming up with practical examples to demonstrate why we use the Chain Rule. It's a simple rule of calculus, which forms the backbone of gradient descent in neural networks. I believe that in mastering neural networks: 20% of the concepts lead to 80% of the understanding. Chain rule definitely comes in that 20%. Here is the video recording: https://lnkd.in/eFCKumiy Hope you have fun learning this concept! Do ask in the comments section here or on the Youtube video if you have any doubts or questions.

As being new to AI/ML I discovered it's impossible to get idea of neural networks from 10 minute tutorials ❌ LUCKILY, during this learning process it is inevitable to discover Andrej Karpathy and his resources. He is the exact manifestation of this famous quote: "𝙄𝙛 𝙮𝙤𝙪 𝙘𝙖𝙣'𝙩 𝙚𝙭𝙥𝙡𝙖𝙞𝙣 𝙞𝙩 𝙩𝙤 𝙖 𝙨𝙞𝙭 𝙮𝙚𝙖𝙧 𝙤𝙡𝙙, 𝙮𝙤𝙪 𝙙𝙤𝙣'𝙩 𝙪𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙 𝙞𝙩 𝙮𝙤𝙪𝙧𝙨𝙚𝙡𝙛." Boy he can explain it very very well. So if you are lost, confused and constantly avoid to start with AI, checkout this amazing video about neural networks. It's like 2 hour video which stands between having no idea and actually getting sense of neural networks. What other resources would you recommend to get started with ML? https://lnkd.in/dTdWmvPp #techcareergrowth #ai #machinelearning #learning #neuralnetworks #coding ---------------------------- 👍 Like | ♻️ Repost if you loved it. ➕ Follow me for daily content, Archil Sharashenidze

A short video on image style transfer: “Image Style Transfer Using Convolutional Neural Network” Video link: https://lnkd.in/eVVa2Ttt Channel link: https://lnkd.in/ehtNhSPW

Just finished the course “Artificial Intelligence Foundations: Neural Networks” by Gwendolyn Stripling! Check it out: https://lnkd.in/ggN7eX5J #neuralnetworks #machinelearning.

🚀 Lesson 2: Neural Network (Layers) Section 2 🧠. Uncover how layers serve as the fundamental building blocks of neural networks. #ArtificialIntelligence #NeuralNetworks #DeepLearning

🎥 Excited to share my latest video on the IBM Technology YouTube channel, where I explain the fundamentals of Recurrent Neural Networks (RNNs)! 🤖🧠 RNNs are a key building block in deep learning, especially when working with sequences like time-series data, language models, and more. Whether you’re new to neural networks or just looking to brush up, this video provides a high-level overview of how RNNs work and where they shine. 💡 Check it out and let me know your thoughts! 🔗 Watch here: https://lnkd.in/geq-fGpb #DeepLearning #RecurrentNeuralNetworks #RNN #AI #MachineLearning #IBM #TechExplained #NeuralNetworks #ArtificialIntelligence #TechEducation #IBMTech #ML

This video gives a great introduction to Neural Network: https://lnkd.in/gjpckTYa

Understanding Activation Functions in Machine Learning! Activation functions are key in helping neural networks learn complex patterns and make decisions. #DataScience #MachineLearning