Neural Network Training in Tamil | Epoch | Batch Size | Batch Norm | Optimizers | Early Stopping

Are you trying to understand how neural networks learn? In this Tamil-language video, we break down some of the most essential deep learning concepts that every machine learning engineer must know before jumping into implementation. This video is specially designed for Tamil-speaking students and professionals who want to gain a solid understanding of the theory behind training neural networks. In this session, we explain what epoch and batch size mean in neural networks, how they influence the learning process, and why choosing the right values matters for model accuracy and training speed. These are often confusing terms for beginners, and this video provides simple yet deep explanations that make them easy to grasp. We also dive into the important concept of internal covariate shift, a common issue in deep learning that can slow down training and lead to poor convergence. You’ll learn what causes internal covariate shift, why it's a problem in deep neural networks, and how it affects each layer during training. To overcome this issue, we introduce batch normalization, one of the most powerful techniques used in modern deep learning architectures. You'll learn how batch normalization works, why it improves training speed and stability, and how it allows models to learn faster and generalize better. If you’re wondering why batch normalization layers are almost always present in neural networks, this video gives you a clear answer. Another critical topic we cover is early stopping in machine learning. This is a simple technique that prevents overfitting and saves training time by stopping the model when validation performance starts to degrade. We explain how early stopping works, how to set it up properly, and why it's useful in practical projects where resources are limited. We also explore the world of optimizers in deep learning — including gradient descent, Adam, RMSProp, and others. Choosing the right optimizer can make a huge difference in how fast and e