Global Certificate in Deep Learning Models: Future-Ready Solutions
-- ViewingNowThe Global Certificate in Deep Learning Models: Future-Ready Solutions is a comprehensive course designed to empower learners with essential skills for career advancement in the AI industry. This course focuses on deep learning models, a subset of machine learning that uses neural networks with many layers.
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โข Fundamentals of Deep Learning: Introduction to neural networks, backpropagation, activation functions, and popular deep learning frameworks.
โข Convolutional Neural Networks (CNNs): Understanding CNN architecture, image classification, object detection, and semantic segmentation.
โข Recurrent Neural Networks (RNNs): Learning RNNs, Long Short-Term Memory (LSTM), and applying RNNs to sequence data and natural language processing (NLP).
โข Generative Adversarial Networks (GANs): Basics of GANs, training techniques, and applications in image generation, style transfer, and data augmentation.
โข Reinforcement Learning: Introduction to reinforcement learning, Q-learning, Deep Q Networks (DQNs), and policy gradients.
โข Transfer Learning and Model Interpretability: Leveraging pre-trained models, feature extraction, and understanding model decisions.
โข Deep Learning for NLP: Word embeddings, transformers, attention mechanisms, and applying deep learning to text generation, sentiment analysis, and machine translation.
โข Optimization Techniques: Gradient descent variants, learning rate scheduling, and second-order optimization methods.
โข Deep Learning at Scale: Distributed training, model parallelism, and deploying deep learning models in production environments.
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