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Partha Seetala
เข้าร่วมเมื่อ 15 ก.ย. 2009
S1 E3 Tuning Neural Networks Hidden Layers and Other tuning techniques
Webseries #1: Comprehensive and Intuitive Introduction to Deep Learning -- Numbers and Text by @parthaseetala
SEASON 1 - EPISODE 3:
In this episode we'll learn about Hidden Layers and various techniques using which one can tune the Neural Network for making better predictions faster. The topics covered in this video are:
00:01:27 Agenda
00:03:25 Activation functions (Intuition, Why they are needed, Examples)
00:32:13 Initialize weights (Xavier and He initialization techniques)
00:44:35 Initializing Bias
00:47:32 Batch Normalization (eliminating Internal Covariate Shift)
01:06:06 Gradient Descent Optimizers (Momentum, NAG, Adam, etc)
01:25:37 Avoiding Overfitting
01:29:15 L1 (Lasso) Regularization
01:34:01 L2 (Ridge) Regularization
01:50:44 Dropout Regularization
01:55:46 Residual (or Skip) Connections
02:01:05 SUMMARY OF SEASON 1
02:05:16 NEXT: High level agenda for SEASON 2
PREV EPISODE: th-cam.com/video/CQTCS8SO8bs/w-d-xo.html
#ActivationFunctions, #XavierInitialization, #HeInitialization, #BiasInitializing, #BatchNormalization #AdamOptimizer #MomentumOptimizer, #Regularization #L1Regularization #LassoRegularization #L2Regularization #RidgeRegularization #DropoutRegularization #ResidualConnections
#CIDL #ParthaSeetala
SEASON 1 - EPISODE 3:
In this episode we'll learn about Hidden Layers and various techniques using which one can tune the Neural Network for making better predictions faster. The topics covered in this video are:
00:01:27 Agenda
00:03:25 Activation functions (Intuition, Why they are needed, Examples)
00:32:13 Initialize weights (Xavier and He initialization techniques)
00:44:35 Initializing Bias
00:47:32 Batch Normalization (eliminating Internal Covariate Shift)
01:06:06 Gradient Descent Optimizers (Momentum, NAG, Adam, etc)
01:25:37 Avoiding Overfitting
01:29:15 L1 (Lasso) Regularization
01:34:01 L2 (Ridge) Regularization
01:50:44 Dropout Regularization
01:55:46 Residual (or Skip) Connections
02:01:05 SUMMARY OF SEASON 1
02:05:16 NEXT: High level agenda for SEASON 2
PREV EPISODE: th-cam.com/video/CQTCS8SO8bs/w-d-xo.html
#ActivationFunctions, #XavierInitialization, #HeInitialization, #BiasInitializing, #BatchNormalization #AdamOptimizer #MomentumOptimizer, #Regularization #L1Regularization #LassoRegularization #L2Regularization #RidgeRegularization #DropoutRegularization #ResidualConnections
#CIDL #ParthaSeetala
มุมมอง: 549
วีดีโอ
S1 E1 Intuitive introduction to Neural Networks
มุมมอง 1.3K2 หลายเดือนก่อน
Webseries #1: Comprehensive and Intuitive Introduction to Deep Learning Numbers and Text by @parthaseetala SEASON 1 - EPISODE 1: In this episode we'll learn about Neural Networks, the data structure and algorithm that powers Deep Learning. We'll also study the intuition behind how Neural Networks work. CHAPTERS 00:01:51 Agenda for Episode 1 00:02:35 Intuition behind Neural Networks how we/mac...
S1 E2 Tuning Neural Networks Normalization, Output Functions and Loss Functions
มุมมอง 1.2K2 หลายเดือนก่อน
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 Cl...
Hi Partha, your content is truly amazing. Can I get the access of these beautiful slides by any chance?
amazing content!
Sir,could you please give me the notes for the webseries?
can I get the link of Season1, Episode1 ?
@Non_existent_4-evr Here is the link to Season 1, Episode 1: th-cam.com/video/os5by3jKUvc/w-d-xo.html