L-7 | ReLU Activation Function with Example | Deep Learning | Professor Chandak

In this video, we will learn about the ReLU (Rectified Linear Unit) Activation Function, one of the most widely used activation functions in Deep Learning and Neural Networks. We will understand: What is the ReLU Activation Function? The mathematical formula: ReLU(x) = max(0, x) How ReLU works with positive and negative input values ReLU activation function graph Step-by-step numerical example Why ReLU is popular in Deep Learning Advantages and limitations of ReLU The problem of the Dying ReLU Where ReLU is used in Neural Networks This lecture is designed for beginners who want to understand the fundamentals of Artificial Neural Networks, Machine Learning, and Deep Learning. Formula: ReLU(x) = max(0, x) 👉 Subscribe to the channel for more Deep Learning lectures and tutorials! #DeepLearning #ReLU #ActivationFunction #NeuralNetworks #MachineLearning #ArtificialIntelligence #ANN #DeepLearningTutorial #ReLUActivationFunction #ReLU #ReLUActivationFunction #ActivationFunction #DeepLearning #MachineLearning #ArtificialIntelligence #NeuralNetworks #NeuralNetwork #ANN #ArtificialNeuralNetwork #DeepLearningTutorial #MachineLearningTutorial #DeepLearningCourse #MachineLearningCourse #DataScience #DataScienceTutorial #AI #AITutorial #LearnAI #LearnDeepLearning #Python #PythonMachineLearning #TensorFlow #Keras #PyTorch #TensorFlowTutorial #KerasTutorial #PyTorchTutorial #NeuralNetworkTutorial #Backpropagation #GradientDescent #VanishingGradient #DyingReLU #LeakyReLU #Sigmoid #Tanh #Softmax #HiddenLayer #OutputLayer #ComputerScience #EngineeringStudents #BTech #CSE #DataScientist #AIML #AIEngineer #Lecture7 #DeepLearningLecture #DeepLearningForBeginners #MLForBeginners #TechEducation