Deep Learning Specialization by DeepLearning. AI – Coursera
There are several online courses available to learn about neural networks. This is one course, however, where students will learn from the greatest in the industry. This program is provided by DeepLearning. Andrew Ng, the pioneer of AI, created it on Coursera. Learners will start with the principles of deep learning to grasp the possibilities and challenges of deep learning models in this specialization. The students will then look at how to create and train neural network architectures like CNN and LSTMs, Transformers, and more.
Furthermore, the students will be taught how to improve these models using various tactics like as dropout, batch normalization, and Xavier/He initialization. Furthermore, students will grasp both theoretical principles and actual implementations of Python and TensorFlow for a variety of real-world issues, including speech recognition, chatbots, machine translation, and more.
The key takeaways from the course include:
- Ability to build, train and validate deep neural network models.
- Implementation of vectorized neural networks and identifying architecture patterns.
- Applying deep learning to various applications.
- Best practices and optimization algorithms.
- Strategies to reduce errors in machine learning systems.
- Perform deep learning techniques to provide end-to-end transfer and multi-task learning.
- CNN for image recognition and classification tasks.
- RNN for NLP problems and the implementation of HuggingFace Tokenizers.
The course curriculum includes the following:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks.
Instructor: Andrew Ng, Kian Katanforoosh, Younes Bensouda Mourri
Level: Intermediate
Duration: 5 months
User Review: 4.9/5
No. of Reviews: 118,736
Price: Free Enrollment (Additional charges for certification may apply)
Website: coursera.org/specializations/deep-learning