Tutorial-39:Introduction to optimizers | Deep Learning |Telugu

Connect with us on Social Media! 📸 Instagram: https://www.instagram.com/algorithm_a... 🧵 Threads: https://www.threads.net/@algorithm_av... 📘 Facebook:   / algorithmavenue7   🎮 Discord:   / discord   Welcome to this tutorial on Optimizers in Deep Learning! Optimizers are crucial for training neural networks efficiently—they help adjust model weights to minimize loss and improve accuracy. In this video, we’ll break down: ✅ What are Optimizers? ✅ Gradient Descent & its Variants (Batch, Stochastic, Mini-Batch) ✅ Popular Optimizers: SGD, Momentum, RMSprop, Adam, Adagrad, and more! ✅ How Optimizers Work (Mathematical Intuition) 👉 If you found this useful, don’t forget to Like , Share , and Subscribe for more awesome content! #deeplearning #machinelearning #optimizers #neuralnetworks #ai #gradientdescent #adamoptimizer #datascience #sgd #rmsprop #momentum #adagrad #deeplearningtutorial #aioptimization #backpropagation #lossfunction #trainingmodels #computervision #nlp #artificialintelligence #ml #datascientist #pytorch #tensorflow #keras #learningrate #modeloptimization #airesearch #neuralnet #mlalgorithms #aitraining