At the end of this reading, you should be able to interpret followings: Enhanced Regressor Modelling PyTorch ML Model-Method Architecture Neural Network Layerings {Input > Hidden (Linear Transformation, Batch Normalization, GELU Activation, Dropout) > Output with Sigmoid Activation} Model Definition and Forward Propagation in Machine Learning 📌 Introduction: Machine Learning models are often perceived as […]
Continue Reading🧠Understanding the Supervised Machine Learning Modeling using PyTorch NN Model and Method in Python
