Neural Networks and Deep Learning focus on building intelligent systems that learn patterns from data using layered neural architectures. Neural networks form the foundation of deep learning by simulating how the human brain processes information. This training explains core concepts such as neurons, layers, activation functions, forward propagation, and backpropagation. It also covers training techniques, optimization methods, and model evaluation strategies. You will learn how deep learning is applied in areas such as image recognition, speech processing, and natural language understanding. The course also highlights best practices for designing, training, and deploying efficient and scalable neural network models.
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