Lec 4.3: Hyperparameters and Parameters in Deep Neural Networks
Lec 4.3: Hyperparameters and Parameters in Deep Neural Networks
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

Weight Initialization and Regularization Techniques for NNs

Weight Initialization and Regularization Techniques for NNs

|
How to Tune a Neural Network

How to Tune a Neural Network

|
Regularization with Data Augmentation and Early Stopping

Regularization with Data Augmentation and Early Stopping

|
IML17: Grid vs random search for hyperparameter tuning?

IML17: Grid vs random search for hyperparameter tuning?

|
How to Choose an Activation Function for Neural Networks

How to Choose an Activation Function for Neural Networks

|
Deep Learning Design Patterns - Jr Data Scientist - Part 6 - Hyperparameter Tuning

Deep Learning Design Patterns - Jr Data Scientist - Part 6 - Hyperparameter Tuning

|
Deep energy for elastic strain grad||Deep physical NN enabled backpropagation algorithm||May 28,2021

Deep energy for elastic strain grad||Deep physical NN enabled backpropagation algorithm||May 28,2021

|
Exponential Linear Units Activation || activation functions

Exponential Linear Units Activation || activation functions

|
Tuning Neural Networks

Tuning Neural Networks

|
43: SWISH Activation | TensorFlow | Tutorial

43: SWISH Activation | TensorFlow | Tutorial

|
Transfer Learning in Deep Learning - Introduction to Deep Learning

Transfer Learning in Deep Learning - Introduction to Deep Learning

|
Lecture 43 Optimisers Momentum and Nesterov Accelerated Gradient NAG Optimiser

Lecture 43 Optimisers Momentum and Nesterov Accelerated Gradient NAG Optimiser

|
More R/keras coding for neural networks with variable number of hidden layers

More R/keras coding for neural networks with variable number of hidden layers

|
What is Vanishing/Exploding Gradients Problem in NNs

What is Vanishing/Exploding Gradients Problem in NNs

|
Lecture 43 : Optimisers: Momentum and Nesterov Accelerated Gradient (NAG) Optimiser

Lecture 43 : Optimisers: Momentum and Nesterov Accelerated Gradient (NAG) Optimiser

|
How to Solve Vanishing Gradients in Keras and Python

How to Solve Vanishing Gradients in Keras and Python

|
Hyper Parameter Optimization : Grid Search

Hyper Parameter Optimization : Grid Search

|
Domain-Adversarial Training | Lecture 70 (Part 2) | Applied Deep Learning (Supplementary)

Domain-Adversarial Training | Lecture 70 (Part 2) | Applied Deep Learning (Supplementary)

|
Sigmoid Activation Function in Neural Networks #ai #shortvideo

Sigmoid Activation Function in Neural Networks #ai #shortvideo

|
Neural Networks Demystified: Part 2, Welch Labs @ MLconf SF

Neural Networks Demystified: Part 2, Welch Labs @ MLconf SF

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa

Favorilere Ekle