Certificate in Essential Neural Networks
-- ViewingNowThe Certificate in Essential Neural Networks is a comprehensive course designed to empower learners with fundamental skills in neural networks, a critical component of artificial intelligence. This program is vital in today's tech-driven world, where neural networks are the driving force behind many innovative solutions, from self-driving cars to voice assistants.
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⢠Introduction to Neural Networks: Understanding the basics of artificial neural networks, including structure, components, and the learning process.
⢠Perceptron Algorithm: Dive into the Perceptron, a single-layer artificial neural network, and its uses, advantages, and limitations.
⢠Activation Functions: Explore various activation functions such as sigmoid, tanh, and ReLU, and their impact on network output.
⢠Backpropagation: Learn the backpropagation algorithm, an essential technique for training multi-layer neural networks.
⢠Convolutional Neural Networks (CNNs): Delve into CNNs, their applications, and how they excel in image and video processing tasks.
⢠Recurrent Neural Networks (RNNs): Understand RNNs, their architecture, and how they handle sequential data, including text and speech.
⢠Long Short-Term Memory (LSTM): Explore LSTM networks, a special type of RNN that solves the vanishing gradient problem, and their real-life applications.
⢠Deep Learning Fundamentals: Get familiar with deep learning, its advantages, and its role in enabling complex AI systems.
⢠Neural Network Optimization Techniques: Improve network performance with advanced optimization methods like momentum, Adagrad, RMSProp, and Adam.
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