What Deep Learning is and its challenges?

The buzz word in this digital majority world, Deep Learning, caters to the minimization of human intervention. When a problem is complex, when a scenario is challenging for human brain, deep learning plays a significant role to fill the gap.

Now that the concept is eliminating human involvement especially for complex problems, Deep Learning is also mysterious at times. There are certain challenges in this area, such as:

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Why Deep Learning?

A very robust big data analytics tool, Deep Learning has many advantages when it comes to addressing the data analysis and learning problems.

Deep Learning techniques are advantageous in following ways:

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Why should I choose Innodatatics?

Innodatatics team in analytics boasts of data science professionals & big data architects from top FT B-Schools & technology colleges. Also, we have a strong pool of Ph.D. professionals with thorough domain expertise, doing research on futuristic products & solutions. Having already provided solutions to a diversity of the common (and not so common) problems faced by the industry positions us very strongly to excel in this industry.

Case Study 1 :   How to automate manual inspection of circuits on assembly chain process by image processing using Deep Learning
Case Study 2 :   How to use image processing to predict cancer based on tumor images
Case Study 2 :   How to use image processing to predict cancer based on tumor images