Deep Learning Specialization
One of the Best Online Convolutional Neural Network Courses is The Deep Learning Specialization. It is a fundamental curriculum that will equip you to participate in the creation of cutting-edge AI technology by helping you grasp the capabilities, problems, and repercussions of deep learning. You'll learn how to create and train neural network architectures including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers, as well as how to improve them with tactics like Dropout, BatchNorm, Xavier/He initialization, and more in this Specialization.
Prepare to use Python and TensorFlow to learn theoretical topics and their commercial applications, and to handle real-world problems like speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. You'll also get career guidance from deep learning specialists from business and academia along the way. You'll be able to construct and train deep neural networks, implement vectorized neural networks, discover architecture parameters, and apply deep learning to your applications at the conclusion of the course.
For constructing DL applications, you may utilize best practices to train and generate test sets and examine bias/variance, as well as typical NN methodologies, optimization algorithms, and neural network implementation in TensorFlow.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate: Earn a Certificate upon completion
- 100% online
- Intermediate Level
- Approx. 5 months to complete
- Subtitles: English, Chinese (Traditional), Arabic, French, Ukrainian, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, Turkish, Spanish, Japanese
Coursera Rating: 4.9/5
Enroll here: https://www.coursera.org/specializations/deep-learning
