Issued on April 2024
Institute: Coursera
University: DeepLearning.AI (Not a university, but the organisation that created the course)
Valid certificate ID: XJU48JUDS5DU
Certificate link
- Completed all 5 courses of the Deep Learning Specialization.
- Built neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learned how to make them better with strategies such as Dropout, BatchNorm, and Xavier/He initialization.
- Mastered the theoretical concepts, learned their industry applications using Python and TensorFlow, and tackled real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more.
- Familiar with the capabilities and challenges of deep learning.
Courses
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models