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Deep learning with neural networks
This section explores the fundamentals of deep learning and neural networks. You will learn how artificial neural networks (ANNs) function, including key concepts like layers, activation functions, backpropagation, and optimization techniques.This section explores the fundamentals of deep learning and neural networks. You will learn how artificial neural networks (ANNs) function, including key concepts like layers, activation functions, backpropagation, and optimization techniques. The focus will be on building and training deep learning models using frameworks like TensorFlow and Keras, with applications in image recognition, natural language processing, and other complex tasks. By the end, you'll understand how deep learning differs from traditional machine learning and be able to create and deploy basic neural network models.