Certificate in Deep Learning: Security Foundations
-- ViewingNowThe Certificate in Deep Learning: Security Foundations is a comprehensive course that equips learners with essential skills in deep learning and security. This program emphasizes the importance of applying deep learning techniques to enhance security systems, meeting the growing industry demand for professionals with expertise in this area.
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⢠Introduction to Deep Learning: Basics of Neural Networks, Activation Functions, Backpropagation
⢠Convolutional Neural Networks (CNNs): Architectures, Training Techniques, Applications in Computer Vision
⢠Recurrent Neural Networks (RNNs): Architectures, Long Short-Term Memory, Natural Language Processing
⢠Deep Learning Frameworks: TensorFlow, PyTorch, Keras, Applications and Best Practices
⢠Security Foundations for Deep Learning: Threat Modeling, Adversarial Attacks, Secure Deep Learning
⢠Secure Deep Learning Implementations: Secure Multi-party Computation, Homomorphic Encryption
⢠Privacy-Preserving Deep Learning: Differential Privacy, Federated Learning, Collaborative Learning
⢠Deep Learning Hardware Security: Secure Processing, Trusted Execution Environments, Side-Channel Attacks
⢠Ethical Considerations in Deep Learning: Bias, Fairness, Explainability, and Regulations
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