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    48.15 Softmax For Multiclass Classification Krish Naik ML
    11:35
    48.12 Relu activation Function Krish Naik ML
    10:52
    48.8 Vanishing Gradient Problem and Sigmoid Krish Naik ML
    21:26
    48.6 Back Propogation and Weight Updation Krish Naik ML
    19:56
    48.16 Which Activation Function To Apply When Krish Naik ML
    5:22
    48.17 Loss Function Vs Cost Function Krish Naik ML
    6:51
    48.20 Which Loss Function To Use When Krish Naik ML
    3:42
    48.18 Regression Cost Function Krish Naik ML
    16:35
    48.25 Adagard Krish Naik ML
    8:15
    48.21 Gradient Descent Optimisers Krish Naik ML
    12:12
    48.22 SGD Krish Naik ML
    7:29
    48.19 Loss Function Classification Problem Krish Naik ML
    20:29
    48.23 Mini Batch With SGD Krish Naik ML
    10:16
    48.24 SGD With Momentum Krish Naik ML
    12:20
    48.1 Introduction Krish Naik ML
    8:07
    47.22 Word2Vec Intuition Krish Naik ML
    18:10
    47.23 Word2Vec Cbow Intuition Krish Naik ML
    20:15
    47.23 Word2Vec Cbow Intuition Krish Naik ML
    20:15
    47.25 Advantages of Word2Vec Krish Naik ML
    4:23
    47.18 TF-IDF Instituion Krish Naik ML
    10:22
    47.28 Spam ham Project using BOW Krish Naik ML
    12:14
    47.26 AvgWord2vec Indepth Intuition Krish Naik ML
    6:32
    47.15 BOW implementation using NLTK Krish Naik ML
    20:33
    47.29 Spam And Ham Project Using TFidf -@udemyrip
    4:49