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A comparison between implementations of different gradient-based optimization algorithms (Gradient Descent, Adam, Adamax, Nadam, Amsgrad). The comparison was made on some of the most common functions used for testing optimization algorithms.

Python 100.00%
adam-optimizer adam gradient-descent nadam adamax amsgrad optimization-algorithms

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My passion for software lies with dreaming up ideas and making them come true with elegant interfaces. I take great care in the experience, architecture, and code quality of the things I build.

I am also an open-source enthusiast. I learned a lot from the open-source community and I love how collaboration and knowledge sharing happened through open-source.

  • ๐Ÿ’ฌ Ask me about anything, I am happy to help
  • ๐Ÿ“ซ How to reach me: @guyez

Who am I?

class WhoAmI:
   user = 'Simone Gayed Said'
   current_edu = "University of Bologna"
   hobbies = [
   		'Drawing',
   		'Watching Anime',
   		'Reading Sci-Fi Novels'
   		'Being up all Night chasing that ONE BUG...'
   	  ]

   def getCity():
   	return Bologna_Italy()

   def Ambitions():
   	LearnJapanese()
   	CreateSkyNet()
   	ClimbEverest()
   	# Assume 10 more awesome ambitions here  ;)
   

๐Ÿ’ป Technologies I Love

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  • Artificial Intelligence
  • Machine Learning
  • Computer Vision
  • Natural Language Processing

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๐Ÿ“Š This Week I Spent My Time On:

Other    28 hrs 48 mins  โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘   87.57 % 
Python   4 hrs 5 mins    โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   12.43 % 

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