3 Things You Must to Know About Deep Learning
Posted by greatlearning1 on May 17th, 2019
What is Deep Learning?
Deep learning is a technique used under machine learning which teaches computers to do what humans naturally do - learn by examples. Deep learning is the key technology behind driverless cars which enables them to recognize a stop sign or distinguish a pedestrian from a lamppost. It is also the key to voice control in consumer devices such as phones, tablets, TVs, and hands-free speakers. Deep learning has been getting a lot of attention lately, and for all the good reasons. It’s able to achieve results that weren’t possible before.
Deep learning models can achieve impeccable accuracy. It may sometimes even exceed the human-level of performance. You can take up an online Deep Learning course which will not only enhance your resume/CV but will also add new domains to your work profile.
Why Deep Learning Matters?
It’s often asked how deep learning manages to attain such impressive results; the answer is, through accuracy. Deep learning has achieved the highest recognition accuracy so far. This has helped consumer electronics to meet user expectations and is also crucial for safety-critical applications such as driverless cars.
Although deep learning was first theorized in the 1980s, following are the two main reasons why it has become useful only recently:
The applications of Deep learning can be found in a number of industries, from automated driving to medical devices. Have a look at a few examples of deep learning at work:
How Deep Learning Works?
Deep learning models are often referred to as deep neural networks, as most deep learning methods use neural network architectures.
The term “deep” usually refers to the number of layers that are hidden in the neural network. Traditional neural networks usually contain 2-3 hidden layers, whereas deep networks can have as many as 150 of them. Deep learning models are trained by using large sets of labeled data and neural network architectures that learn features directly from the data eradicating the need for manual feature extraction.
Deep Learning has already become a game changer in the field of machine learning, and the scopes of growth are immense. You should consider opting for a deep learning training course, as it can help you with your career growth in ways more than one.
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