Global Certificate Deep Learning Models for E-commerce
-- ViewingNowThe Global Certificate in Deep Learning Models for E-commerce is a comprehensive course designed to equip learners with essential skills for career advancement in the thriving e-commerce industry. This course emphasizes the importance of deep learning models in enhancing e-commerce businesses, such as predicting customer behavior, improving recommendation systems, and optimizing supply chain management.
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โข Deep Learning Fundamentals: Introduction to neural networks, activation functions, backpropagation, and gradient descent.
โข Convolutional Neural Networks (CNNs): Understanding CNN architecture, pooling, padding, and strides. Use cases for image classification and object detection.
โข Recurrent Neural Networks (RNNs): Learning RNN structure, long short-term memory (LSTM), and gated recurrent units (GRUs). Time series data analysis and natural language processing applications.
โข Deep Learning Frameworks for E-commerce: Hands-on experience with popular deep learning libraries such as TensorFlow, Keras, and PyTorch. Building and optimizing deep learning models for e-commerce.
โข Deep Learning Applications in E-commerce: Personalized product recommendations, customer segmentation, sentiment analysis, fraud detection, and demand forecasting.
โข Transfer Learning and Fine-Tuning: Utilizing pre-trained models, transfer learning, and fine-tuning techniques for e-commerce. Improving model performance and reducing training time.
โข Evaluation Metrics for Deep Learning Models: Quantifying model performance, selection of appropriate evaluation metrics, and interpreting results in the context of e-commerce.
โข Ethical Considerations in Deep Learning: Bias, fairness, transparency, and privacy concerns in deep learning applications for e-commerce.
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