ANN Architecture | Regression & Classification Code Example | Urdu / Hindi

This is Python Programming Lecture 77. In this lecture, we discuss Artificial Neural Network (ANN) architecture in Deep Learning in complete detail. We learn how to design an ANN for both Regression and Binary Classification problems and understand how to choose the appropriate network architecture, layers, neurons, and output configuration. We cover the complete ANN model training workflow using TensorFlow/Keras, including how to design the architecture, compile the model, select the optimizer and loss function, define epochs, batch size, and validation split, and train the neural network using the fit() method. This ANN Deep Learning tutorial in Urdu provides a practical understanding of how a neural network is trained for regression and binary classification. The lecture is designed for students and beginners learning Deep Learning, Artificial Intelligence, Machine Learning, Neural Networks, TensorFlow, and Keras. 📌 Topics Covered ✅ Artificial Neural Network (ANN) ✅ ANN Architecture Design ✅ ANN for Regression ✅ ANN for Binary Classification ✅ Input Layer ✅ Hidden Layers ✅ Output Layer ✅ Number of Neurons and Layers ✅ Activation Functions ✅ Regression Output Layer ✅ Binary Classification Output Layer ✅ Model Compilation ✅ Optimizer ✅ Loss Function ✅ Metrics ✅ Epochs ✅ Batch Size ✅ Validation Split ✅ Model Training ✅ model.fit() ✅ Training and Validation Data ✅ Complete ANN Training Workflow 🎯 What You Will Learn ✔ How to design an ANN architecture from scratch ✔ How to create ANN models for Regression ✔ How to create ANN models for Binary Classification ✔ How to decide the structure of different neural network layers ✔ Understand the role of activation functions ✔ Understand how to compile an ANN model ✔ Learn about optimizers and loss functions ✔ Understand epochs and batch size ✔ Understand validation split ✔ Learn how the ANN is trained using model.fit() ✔ Understand the complete workflow from architecture design to model training 📚 Learn Deep Learning in Urdu This lecture explains ANN Architecture, Regression, and Binary Classification in Deep Learning with practical Python/TensorFlow/Keras concepts in easy Urdu. It is designed to help beginners understand how real neural network models are designed, compiled, and trained step by step. 👍 Like, Share & Subscribe for more Python, Machine Learning, Deep Learning and AI lectures in Urdu. #pythonforbeginners #pythonprogramming #learnpythonprogramming #learnpythonprogramming #pythonforaiandds #pythonprogrammingforbeginners #learnpython #pythonconcepts #pythonconcept #pythontutorial #ann #artificialneuralnetwork #neuralnetwork #deeplearning #deeplearningtutorial #annarchitecture #annregression #binaryclassification #neuralnetworkclassification #neuralnetworkregression #tensorflow #keras #modeltraining #epochs #batchsize #validationsplit #machinelearning #artificialintelligence #python #deeplearninginurdu