Certificate in Neural Networks for Engineers
-- ViewingNowThe Certificate in Neural Networks for Engineers is a comprehensive course designed to equip engineers with the necessary skills to excel in the rapidly evolving field of artificial intelligence. This course highlights the importance of neural networks, a key component of artificial intelligence, and their applications in various industries.
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⢠Introduction to Neural Networks: Basics of artificial neural networks, architecture, and components
⢠Perceptron & Multi-Layer Perceptron: Single layer and multi-layer perceptrons, learning algorithms
⢠Backpropagation Algorithm: Derivation, optimization, and applications
⢠Convolutional Neural Networks (CNNs): Designing, training, and implementing CNNs for image recognition
⢠Recurrent Neural Networks (RNNs): Understanding and applying RNNs for sequential data
⢠Long Short-Term Memory (LSTM) & Gated Recurrent Units (GRU): Advanced RNN architectures for complex sequential data
⢠Deep Learning Frameworks: Hands-on experience with popular deep learning libraries and tools
⢠Transfer Learning & Fine-Tuning: Leveraging pre-trained models for improved performance
⢠Optimization Techniques: Gradient descent variants, learning rate scheduling, and regularization methods
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