Tutorial-43:Adagrad explained in detail | Simplified | Deep Learning скачать в хорошем качестве

Tutorial-43:Adagrad explained in detail | Simplified | Deep Learning

Connect with us on Social Media! 📸 Instagram: https://www.instagram.com/algorithm_a... 🧵 Threads: https://www.threads.net/@algorithm_av... 📘 Facebook:   / algorithmavenue7   🎮 Discord:   / discord   In this video, we dive deep into the AdaGrad Optimizer — one of the most important adaptive learning rate methods in Deep Learning. We’ll break it down with simple explanations, math, and powerful animations so you can clearly see how AdaGrad works under the hood. 🔹 What you’ll learn in this video: 1.Why traditional Gradient Descent struggles with sparse data 2.How AdaGrad adapts learning rates for each parameter individually 3.The math behind AdaGrad (step-by-step) 4.Hyperparameters of AdaGrad explained in simple terms 👉 If you found this useful, don’t forget to Like , Share , and Subscribe for more awesome content!#machinelearning #deeplearning #machinelearning #deeplearning #artificialintelligence #adagrad #optimizer #neuralnetworks #gradientdescent #ai #ml #dl #datascience #computervision #naturallanguageprocessing #nlp #pytorch #tensorflow #backpropagation #lossfunction #sparsedata #modeltraining #trainingneuralnetworks #optimizers #adaptivelearningrate #mlalgorithms #deeplearningtutorial #mltutorial #aiexplained #deeplearningoptimizers #datascientist #aioptimizers