Graduate Certificate in Practical Neural Network Development
-- ViewingNowThe Graduate Certificate in Practical Neural Network Development is a vital course designed to equip learners with the essential skills needed to thrive in the rapidly growing field of artificial intelligence. This certificate course focuses on the application and development of neural networks, which are at the core of many modern AI systems.
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⢠Unit 1: Introduction to Neural Networks
⢠Unit 2: Data Preprocessing for Neural Networks
⢠Unit 3: Architectures of Neural Networks
⢠Unit 4: Training Neural Networks with Backpropagation
⢠Unit 5: Practical Implementation of Neural Networks using Python
⢠Unit 6: Convolutional Neural Networks (CNNs)
⢠Unit 7: Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)
⢠Unit 8: Deep Learning Frameworks: TensorFlow, PyTorch, and Keras
⢠Unit 9: Transfer Learning and Model Fine-tuning
⢠Unit 10: Real-world Applications of Neural Networks
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