Professional Certificate in Deep Learning for QA Futures
-- ViewingNowThe Professional Certificate in Deep Learning for QA Futures is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving field of deep learning. This course is crucial for individuals seeking to stay updated with the latest industry trends and gain a competitive edge in the job market.
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โข Introduction to Deep Learning – Neural networks, activation functions, backpropagation
โข Convolutional Neural Networks (CNNs) – Image classification, object detection, feature extraction
โข Recurrent Neural Networks (RNNs) – Sequence data, time series analysis, natural language processing
โข Long Short-Term Memory (LSTM) Networks – Memory cells, vanishing gradient problem, sentiment analysis
โข Generative Adversarial Networks (GANs) – Generative models, adversarial training, image synthesis
โข Deep Reinforcement Learning – Q-learning, Deep Q Networks, policy gradients, AlphaGo
โข Transfer Learning and Fine-tuning – Pretrained models, domain adaptation, fine-tuning techniques
โข Hyperparameter Tuning and Regularization – Learning rate, batch size, dropout, weight decay
โข Deep Learning Frameworks – TensorFlow, PyTorch, Keras, practical implementation tips
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