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This Podcast is about Regularization & its Types
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Overview about Activation Function in neural network and its basic types
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Clear Cut explanation on FeedForward & Back Propagation vs Optimizers
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Confusion Matrix will be helpful to Evaluate the Model.
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Clear cut explanation about Using Pre-Trained Model for Custom Dataset
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Short & Clearcut info about Bias, Variance & Tradeoff
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Clear-cut Short info about Natural Language Processing, Natural Language Understanding & Natural Language Generation
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Here you will learn basic overview about ML & DL in Clear-cut short
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This Podcast will give an introduction to Artificial Intelligence