Global Certificate in Deep Learning for QA Performance
-- ViewingNowThe Global Certificate in Deep Learning for QA Performance is a comprehensive course that addresses the growing industry demand for professionals with expertise in deep learning and AI. This certificate program emphasizes the application of deep learning techniques to improve Quality Assurance (QA) performance.
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⢠Introduction to Deep Learning: Understanding the basics of deep learning, its applications, and benefits in QA performance
⢠Neural Networks and Deep Learning: Exploring the structure and functionality of neural networks, including perceptrons, activation functions, and backpropagation
⢠Convolutional Neural Networks (CNNs): Learning about CNN architecture, image recognition, and object detection
⢠Recurrent Neural Networks (RNNs): Delving into RNN structure, sequence data processing, and natural language processing
⢠Long Short-Term Memory Networks (LSTMs): Examining LSTMs, their applications, and improving long-range sequence prediction
⢠Deep Reinforcement Learning: Mastering reinforcement learning, Q-learning, and deep Q-networks
⢠Transfer Learning and Fine-Tuning: Applying pre-trained models, transfer learning, and fine-tuning techniques
⢠Deep Learning Tools and Libraries: Hands-on experience with popular deep learning frameworks like TensorFlow, Keras, and PyTorch
⢠Deep Learning for QA Performance Improvement: Utilizing deep learning models to enhance QA performance in areas such as test automation, defect prediction, and root cause analysis
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