Deep Learning & Neural Networks
About This Course
The course helps student build key competencies by imparting essential knowledge of deep learning models like Convolutional neural networks (CNNs), Natural language processing (NLP), recommender systems, and generative models. It equips individuals to construct deep learning models for practical business applications. Its industry relevance lies in addressing current trends and ethics in deep learning, ensuring graduates can develop and implement these models effectively to solve real-world business challenges. The course fosters skills in recommending deep learning solutions, data preparation using Python and PyTorch, and model evaluation, making graduates valuable assets in an Artificial intelligence (AI)-driven job market.
What You'll Learn
Entry Requirements
Need to have basic knowledge of Python