Deep Learning by deeplearning.ai on Coursera
If you want to break into the world of artificial intelligence, then you need to have a Specialization in Deep Learning.
This is a short review of Deep Learning Specialization by deeplearning.ai on Coursera.
In this series of courses, you will learn how to master the art of deep learning, the science of machine learning, and how it is being used in the world of artificial intelligence.
A master’s degree in artificial intelligence (AI) is one of the most important graduate degrees in the UK and is a great way to get started in the world of artificial intelligence and robotics.
In this series of lectures, you will be looking at the latest advances in artificial intelligence (AI) and how you can get started in the field.
In this specialisation, you will learn how to build and test deep learning models for a variety of applications in the artificial intelligence (AI) field. and how to apply them to your own business.
Deeplearning.ai, the world’s largest training platform for deep learning.
There are 5 Courses in this Specialization
This course will teach you how to master the art of deep learning, the science of teaching artificial intelligence (AI) systems to learn and behave in a way that is completely new and exciting.
1. Neural Networks and Deep Learning
If you are interested in learning more about artificial intelligence (AI), then this course is the perfect course to help you on your path to becoming a professional in the field of Deep Learning at the University of Bristol.
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
If you want to learn how to use deep learning to improve your computer’s performance, then this course is the place for you… and will help you to get the most out of your training.
Deep Learning Specialization — A 3-week course in TensorFlow, the world’s most popular deep learning framework to train and train artificial intelligence (AI) systems.
3. Structuring Machine Learning Projects
This course is designed to help you become a technical leader in the field of artificial intelligence (AI) and how to use it to improve your own work and the work of your team, and to improve the quality of your work.
Together a two week course on machine learning that will help you understand the principles of deep learning, and how to use them to improve your own machine learning systems… and your own products.
4. Convolutional Neural Networks
Computer vision is one of the fastest growing areas of research in the world of artificial intelligence, and we want you to be part of the first generation of researchers to learn how to use it.
In this course, you will learn how to build a convolutional neural network, a type of deep learning algorithm that can be used to train computers to recognise and classify images and video.
5. Sequence Models
RNNs are very important in Natural Language Processing, speech recognition and more.
Finally, if you want to see a video review of the course, click here: