Description
The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.
In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more.
Free Learning Paths by Career Track
Data ScientistIncluded CoursesCourseraDeepLearning.AIFree
1. Neural Networks and Deep Learning
27 hours 
Intermediate
1,019,001CourseraDeepLearning.AIFree
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
26 hours
Intermediate
430,353CourseraDeepLearning.AIFree
3. Structuring Machine Learning Projects
9 hours
Beginner
356,117CourseraDeepLearning.AIFree
4. Convolutional Neural Networks
39 hours
Intermediate
387,394CourseraDeepLearning.AIFree
5. Sequence Models
41 hours
Intermediate
316,041
27 hours
Intermediate
1,019,001
26 hours
Intermediate
430,353
9 hours
Beginner
356,117
39 hours
Intermediate
387,394
41 hours
Intermediate
316,041