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  The field of deep learning has been growing exponentially in recent times, substantially due to the huge amount of data that's available and fluently accessible computing resources, in this blog we're going to discuss what deep learning is, why to use deep learning, and how to get started with it so basically it'll give you the complete roadmap to be a deep learning engineering course with live project experience. Deep learning is a series of algorithms that attempts to imitate the learning of a mortal brain, or at least that’s what they claim, what happens outside is that it performs several complex fine functions that make it possible for a computer to perform a task like humans. For example, we've seen driverless cars well deep learning is the crucial technology behind this miracle, we can talk to our phone and issue a command and it'll do said task, eg Siri, Amazon Alexa, well deep learning course makes all of this possible. Through deep learning, a compute

  It's quite possible to learn, follow and contribute to state-of-art work in deep learning in about 6 months. This article details the way to achieve that. Pre-requisites -You're willing to spend 10 – 20 hours per week for the coming 6 months -You have some programming skills. You should be comfortable picking up Python along the way. And cloud. (No background in Python and cloud assumed). - Some math education in the past (algebra, figure, etc). -Access to the internet and computer. Step 1 We learn to drive a car — by driving. Not by learning how the clutch and the internal combustion engine work. At least not originally. When learning deep learning, we will follow the same top-down approach. Do thefast.ai course — Practical Deep Learning for Coders — Part 1. This takes about 4 – 6 weeks of trouble. This course has a session on running the law on the cloud. Google Colaboratory has free GPU access. Start with that. Other options include Paperspace, AWS, GCP, Castle, and Floydh

  Deep Learning and Traditional Machine Learning their performance as the scale of data increases. If we talk about small data then the deep learning algorithms don't work well. Meanwhile, see Machine learning algorithms required data to understand to perform well. For more know about Deep Learning Course and Machine Learning Course then call 9212172602