ilyarudyak

## grad-vis-long.ipynb

      
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                ilyarudyak
                / grad-vis-long.ipynb
            
            
              Created
              January 31, 2022 22:12
            
              
                Illustration of different gradient descent methods
              
          
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## batch_norm_debugging_v1.ipynb

      
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                ilyarudyak
                / batch_norm_debugging_v1.ipynb
            
            
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              January 31, 2022 11:55
            
              
                Deriving gradient for batch norm (cs231n)
              
          
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## iou-debugging-v1.ipynb

      
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                / iou-debugging-v1.ipynb
            
            
              Created
              December 8, 2021 13:01
            
          
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## embedding_backwards_debug_v1.ipynb

      
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                ilyarudyak
                / embedding_backwards_debug_v1.ipynb
            
            
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              November 4, 2021 10:38
            
              
                `np.add.at` examples and explanation (based on assignment 3 of cs231n)
              
          
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## conv_nets_debugging_v2_medium.ipynb

      
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                ilyarudyak
                / conv_nets_debugging_v2_medium.ipynb
            
            
              Created
              October 20, 2021 17:28
            
              
                convolution layer backprop (cs231n assignment2)
              
          
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## softmax.py
from builtins import range
import numpy as np
from random import shuffle
# from past.builtins import xrange


def softmax_loss_naive(W, X, y, reg=0.0):
    """
    Softmax loss function, naive implementation (with loops)

## bias_initializer.ipynb

      
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                ilyarudyak
                / bias_initializer.ipynb
            
            
              Created
              July 8, 2020 13:47
            
              
                bias_initializer.ipynb
              
          
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## transposed_conv_gist.ipynb

      
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                ilyarudyak
                / transposed_conv_gist.ipynb
            
            
              Created
              October 24, 2019 13:38
            
          
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## back_propagation_emb_layer.ipynb

      
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                ilyarudyak
                / back_propagation_emb_layer.ipynb
            
            
              Created
              September 29, 2019 14:41
            
          
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## a4_BLUE_score.ipynb

      
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                ilyarudyak
                / a4_BLUE_score.ipynb
            
            
              Created
              August 26, 2019 16:39
            
          
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	from builtins import range
	import numpy as np
	from random import shuffle
	# from past.builtins import xrange


	def softmax_loss_naive(W, X, y, reg=0.0):
	"""
	Softmax loss function, naive implementation (with loops)