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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⢠Introduction to Deep Learning – Neural networks, activation functions, backpropagation
⢠Convolutional Neural Networks (CNNs) – Image classification, object detection, feature extraction
⢠Recurrent Neural Networks (RNNs) – Sequence data, time series analysis, natural language processing
⢠Long Short-Term Memory (LSTM) Networks – Memory cells, vanishing gradient problem, sentiment analysis
⢠Generative Adversarial Networks (GANs) – Generative models, adversarial training, image synthesis
⢠Deep Reinforcement Learning – Q-learning, Deep Q Networks, policy gradients, AlphaGo
⢠Transfer Learning and Fine-tuning – Pretrained models, domain adaptation, fine-tuning techniques
⢠Hyperparameter Tuning and Regularization – Learning rate, batch size, dropout, weight decay
⢠Deep Learning Frameworks – TensorFlow, PyTorch, Keras, practical implementation tips
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