...
Full Bio
Today's Technology-Data Science
295 days ago
How to build effective machine learning models?
295 days ago
Why Robotic Process Automation Is Good For Your Business?
295 days ago
IoT-Advantages, Disadvantages, and Future
296 days ago
Look Artificial Intelligence from a career perspective
296 days ago
Every Programmer should strive for reading these 5 books
580035 views
Why you should not become a Programmer or not learn Programming Language?
240057 views
See the Salaries if you are willing to get a Job in Programming Languages without a degree?
152328 views
Have a look of some Top Programming Languages used in PubG
144765 views
Highest Paid Programming Languages With Highest Market Demand
137469 views
Expand your knowledge with some Deep Learning Books
- Implement advanced techniques in the right way in Python and TensorFlow
- Debug and optimize advanced methods (such as dropout and regularization)
- Carry out error analysis (to realize if one has a bias problem, a variance problem, a data offset problem, and so on)
- Set up a machine learning project focused on deep learning on a complex dataset
- expertise or knowledge of the authors
- the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision and
- the application areas that have the potential to be impacted significantly by deep learning and that have been benefitting from recent research efforts, including natural language and text processing, information retrieval, and multimodal information processing empowered by multitask deep learning.