ClassWork

🛠️An Optimizer is like a trainer 🧑‍🏫 for your machine learning model.It helps the model learn … What are Optimizers in Machine Learning?Read more

🧠 What is an Activation Function? An Activation Function is a tiny math rule used inside … What is Activation Function?Read more

🧠 What is an Activation Layer? An Activation Layer is a part of a neural network … What is Activation Layer?Read more

🧠 What is an Attention Layer? An Attention Layer is a part of a machine learning … What is Attention Layer?Read more

🤔 What is Self-Attention? Self-Attention is a mechanism that allows a model to look at other … What is Self Attention?Read more

🔍 What is an Attention Network? An Attention Network (or Attention Mechanism) is a deep learning … What is Attention Network?Read more

Let’s break down Visual Transformers (also called Vision Transformers or ViTs) in a super simple and … What are Visual Transformer?Read more

❓ Are Normalization and Regularization the Same? 👉 NO, they are not the same — they … Are Normalization and regularization same??? if not what then?Read more

😕 What is Underfitting (Quick Reminder)? Your model hasn’t learned enough from the training data — … What to do when my ML model is underfitted?Read more

😬 What is Overfitting (Quick Reminder)? Your model is too good at remembering the training data … What to do when my ML model is Overfitted?Read more

Let’s talk about what happens if your training and validation datasets are the same size — … What happen if my train and validation dataset are same size?Read more

Let’s break down what happens if your test and training datasets are the same size — … What happen if my test and train dataset are same size?Read more

🙌 Let’s explain what happens if the validation and test datasets are the same size — … What happens if the validation and test datasets are the same size?Read more

🌟 Let’s explain the importance of a validation dataset in a clear and simple way 📊🧠✨ … What is the importance of validation dataset?Read more