Deep Learning has become one of the fast-developing technologies in Data Science and a subset of Machine Learning. It is also known as a deep neural network and uses a hierarchical function to sort, classify and decode huge volumes of unstructured data obtained from different sources.
What Is Deep Learning?
Deep learning is a machine learning technique that allows computers to learn from examples and perform tasks that generally require human intelligence. Enormous amounts of labelled data and neural network architecture with several layers allow deep learning models to achieve high-end accuracy that even exceeds human performance.
Deep learning allows for higher levels of accuracy, which is the key in fields like automated driving, aerospace, defence, industrial automation, medical research and electronics. It is an integral part of speech recognition, image recognition, visual art processing, natural language processing online advertising and many more.
Popular Applications Of Deep Learning
Both businesses, as well as academic institutions, have embraced Deep Learning technology for speech recognition. Google, Xbox, Now, Skype and Apple’s Siri, to name a few, have already employed Deep Learning solutions to recognize human speech and voice patterns.
One popular application of image recognition is the automatic image caption and scene description option. This application could be crucial in many law enforcement investigations for detecting illegal activity from thousands of photos submitted by the bystanders in the area where crime has occurred. Self-driving cars are also using image recognition by employing 360-degree camera technology.
Natural Language Processing
Neural networks which are a central component of deep learning, have been used to analyze and process written text for many years. Text mining technique can be used to discover the patterns in customer complaints, news reports, physician notes, to name a few.
Platforms like Amazon and Netflix have a recommendation system that knows what you might be interested in shopping or seeing next, based on your past preferences and search history. Deep learning technology is used to enhance the recommendations in complex environments like music interests or apparel preferences across many different platforms.
How To Learn Deep Learning?
Deep Learning can be learned in two ways.
- Learn from experts
Many different resources have been listed here which are available for you to learn Deep Learning:
Deep Learning Blogs
To learn about Deep Learning, you can go through the below-listed blogs:
- Adit Deshpande’s blog
- BAIR blog
- inference blog
- deeplearning.net blog
Deep Learning Books
Whether you are an expert IT professional or just an AI enthusiast looking to explore Deep Learning, then books are your best bet. Here is a list of some of the top Deep Learning books:
1. Deep Learning by Goodfellow, Bengio and Courville
2. Neural Networks and Deep Learning by Michael Nielsen
3. Deep Learning with Python by Francois Chollet
4. Hands-on machine learning with Scikit-Learn & TensorFlow by Aurelien Geron
Deep Learning Videos and Tutorials
One of the best ways to get a better understanding of Deep Learning is to watch a video lecture of an industry expert and work your way along with it. The videos/ tutorials made by experts can shed light on what Deep Learning is all about. You can find many paid as well as free videos/ tutorials on the internet with just a click of a button.
2. Learn Deep Learning from Experts:
You may prefer self-study as it is more convenient and pocket-friendly. But, if you want to build a career in Deep Learning, enrol yourself in Deep Learning course at a recognized institute.
Choosing The Best Deep Learning Institute
Different kinds of self-study materials such as books, blogs, slides, videos and tutorials may be useful for you in building a foundation in Deep Learning. But to enter into the field of Deep Learning, you must join an institute which offers you the necessary training along with placement assistance.
With a long list of Institutes offering Deep Learning courses, choosing the best one can be difficult. The important factors that you can consider while selecting the best Deep Learning Institute are:
The institute should have a good reputation among the industry leaders
The Deep Learning certifications offered by the institute must be recognized globally
The curriculum of Deep Learning should be updated as per current trends in Deep Learning and must be updated regularly
The learners should be offered access to the Deep Learning tools to get a better understanding of its practical applications
What Are The Benefits Of Studying Deep Learning Online At Manipal ProLearn?
Manipal ProLearn gives you access to highly curated content designed by industry experts with more than a decade of experience. Round-the-clock access to online LMS, video tutorials, e-learning materials, assessments, practice exercises and lots more make your learning process effective and interesting. Learn deep learning online with Manipal ProLearn and get access to a GPU based environment where you can work on DL tools in real-life scenarios. We have PG certification courses and short term specialization courses in Deep Learning. You can choose any Deep Learning course based on your interests or job requirements.
No matter which city you are in, you can learn Deep Learning online at Manipal ProLearn. With us, you have the advantage of learning the latest trends, tools and technologies in Deep Learning from subject matter experts and industry practitioners.