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| LEADER |
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cr cn |
| 008 |
260320s2019 xx v eng |
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|z 9781838985721
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|a (CaSebORM)9781838985721
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| 041 |
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|a eng
|
| 100 |
1 |
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|a Ltd., Geekshub,
|e author.
|
| 245 |
1 |
0 |
|a Deep Learning with Real World Projects /
|c Ltd., Geekshub.
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| 250 |
|
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|a 1st edition.
|
| 264 |
|
1 |
|b Packt Publishing,
|c 2019.
|
| 300 |
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|a 1 online resource (1 video file, approximately 20 hr., 49 min.)
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|a two-dimensional moving image
|b tdi
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| 337 |
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|a computer
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|b cr
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|a video file
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| 520 |
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|a Novice to pro in Deep Learning with Hands-on Real-World Projects About This Video Learn to implement machine learning models in Tensor Flow and Keras Complete introduction to advance level concepts in Recurrent Neural Networks (RNN) A Practical course with multiple real-life projects in Deep learning In Detail Deep learning is an artificial intelligence function that mimics the inner workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks of interconnected nodes capable of un-supervised learning from data that is unstructured or unlabelled training data. It also enables representation of data in form of abstract features and classifies them into sub-classes which may be too complex for traditional machine learning models. One of the most common AI techniques used for processing big data is machine learning, a self-adaptive algorithm that gets increasingly better analysis and patterns with experience or with newly added data. As more and more sources of data-generation are coming into picture, the number of file formats is increasing as well. Now, designing one model to merge data from these many sources and extract meaningful insights is not possible with traditional hand-coded programs. While traditional programs build analysis with data in a linear way, the hierarchical function of deep learning systems enables machines to process data with a non-linear approach. While this may sound daunting, Deep Learning algorithms handle such tasks with ease. The scope of implementation in various sectors is just limitless.
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| 533 |
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|a Electronic reproduction.
|b Boston, MA :
|c Safari,
|n Available via World Wide Web.
|d 2019.
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| 538 |
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|a Mode of access: World Wide Web.
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| 542 |
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|f Packt Publishing
|g 2019
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| 588 |
|
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|a Online resource; Title from title screen (viewed July 12, 2019)
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| 500 |
|
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|a Videorecording.
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|
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2 |
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|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|h No information provided
|
| 998 |
f |
f |
|t 0
|l Available Online
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