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S1 E2 Tuning Neural Networks Normalization, Output Functions and Loss Functions

Webseries #1: Comprehensive and Intuitive Introduction to Deep Learning -- Numbers and Text by ‪@parthaseetala‬ SEASON 1 - EPISODE 2: In this episode we'll learn about Input Normalization techniques and go through several use cases that can be solved using Deep Learning techniques. The use cases covered are -- (1) Regression, (2) Binary Classification, (3) Multi-class Classification, (4) Multi-label Classification, (5) Ranking CHAPTERS 00:00:00 Introduction to Season 1 Episode 2 00:00:39 Tuning Input Layer -- Normalization 00:13:44 Tuning Output Layer 00:16:01 Use cases that can be solved using Deep Neural Networks 00:19:12 Regression use case overview 00:12:56 Single-output Regression use case 00:24:48 Multi-output Regression use case 00:45:41 Binary Classification use case 01:08:01 Multi-class Classification use case 01:26:06 Multi-label Classification use case 01:58:45 Ranking use case 02:23:57 Summary -- Cheat sheet for mapping Output/Loss functions to their respective use cases 02:25:39 Preview of next episode Season 1 Episode 3 PREV EPISODE: S1-E1:    • S1 E1 Intuitive introduction to Neura...   NEXT EPISODE: S1-E3:    • S1 E3    Tuning Neural Networks Hidde...