Global Certificate in Deep Learning Applications: Strategic Insights
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⢠Deep Learning Fundamentals: Neural Networks, Activation Functions, Backpropagation, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs)
⢠Deep Learning Frameworks: TensorFlow, Keras, PyTorch, MXNet, Caffe
⢠Computer Vision with Deep Learning: Object Detection, Image Classification, Semantic Segmentation, Instance Segmentation, Face Recognition
⢠Natural Language Processing (NLP) with Deep Learning: Sentiment Analysis, Named Entity Recognition, Text Classification, Machine Translation, Question Answering
⢠Reinforcement Learning with Deep Q Networks (DQN), Policy Gradients, Actor-Critic Methods, Monte Carlo Tree Search (MCTS)
⢠Generative Models: Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Normalizing Flows, Autoregressive Models
⢠Transfer Learning: Pre-trained Models, Fine-tuning, Domain Adaptation
⢠Explainable AI: Model Interpretability, Feature Importance, Local Interpretable Model-agnostic Explanations (LIME), SHapley Additive exPlanations (SHAP)
⢠Deep Learning Ethics: Bias, Discrimination, Privacy, Fairness, Accountability
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