Learning Deep Learning: Unit 1
Completed by Daniel Stiles
January 27, 2026
5 hours (approximately)
Daniel Stiles's account is verified. Coursera certifies their successful completion of Learning Deep Learning: Unit 1
What you will learn
Grasp the core concepts and history of deep learning, including neural network fundamentals and training algorithms.
Develop hands-on skills in building, training, and evaluating neural networks using TensorFlow and PyTorch.
Apply advanced techniques to solve real-world problems in image classification, language processing, and multimodal AI.
Understand practical considerations and ethical aspects of deploying deep learning in real-world applications.
Skills you will gain
- Category: Model Training
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Network Architecture
- Category: PyTorch (Machine Learning Library)
- Category: Artificial Neural Networks
- Category: Tensorflow
- Category: Convolutional Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Optimization
- Category: Machine Learning Algorithms
- Category: Network Performance Management
