Lecture #4: Binary Classification | Deep Learning and Neural Networks
Lecture #4: Binary Classification | Deep Learning and Neural Networks
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

Lecture #4: Binary Classification | Deep Learning and Neural Networks

Lecture #4: Binary Classification | Deep Learning and Neural Networks

|
Neural Networks Explained in 5 minutes

Neural Networks Explained in 5 minutes

|
4- Binary Classification and Binary Cross Entropy Error function

4- Binary Classification and Binary Cross Entropy Error function

|
CS 152 NN—7: Binary Classification —Sigmoid

CS 152 NN—7: Binary Classification —Sigmoid

|
Binary Classification: Understanding AUC, ROC, Precision/Recall & Sensitivity/Specificity

Binary Classification: Understanding AUC, ROC, Precision/Recall & Sensitivity/Specificity

|
Binary Classification (C1W2L01)

Binary Classification (C1W2L01)

|
06 - Binary Classification in Neural Networks in 8 minutes

06 - Binary Classification in Neural Networks in 8 minutes

|
Binary Classification | Neural Networks and Deep Learning | Introduction to NN

Binary Classification | Neural Networks and Deep Learning | Introduction to NN

|
Lecture 4 - Deep Neural Networks and Adversarial Examples

Lecture 4 - Deep Neural Networks and Adversarial Examples

|
But what is a neural network? | Deep learning chapter 1

But what is a neural network? | Deep learning chapter 1

|
Deep Learning for NLP - Lecture 4 - Autoencoders

Deep Learning for NLP - Lecture 4 - Autoencoders

|
144 - Binary classification using Keras

144 - Binary classification using Keras

|
Best trick to remember- Precision & recall formula #datascience #machinelearning #confusionmatrix

Best trick to remember- Precision & recall formula #datascience #machinelearning #confusionmatrix

|
Lecture 4: Neural Networks: Learning the network - Backprop

Lecture 4: Neural Networks: Learning the network - Backprop

|
Perceptron | Neural Networks

Perceptron | Neural Networks

|
4.2: Evaluating Classification/regression Neural Networks, Log Loss and RMSE (Module 4, Part 2)

4.2: Evaluating Classification/regression Neural Networks, Log Loss and RMSE (Module 4, Part 2)

|
Hands-on Machine Learning with Python, TensorFlow and Keras Lecture 4/8

Hands-on Machine Learning with Python, TensorFlow and Keras Lecture 4/8

|
Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

|
Machine Learning IV : Logistic Regression & Binary Classification by Andy Yang Yale '24

Machine Learning IV : Logistic Regression & Binary Classification by Andy Yang Yale '24

|
Deep Learning: Introduction - Part 4

Deep Learning: Introduction - Part 4

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

Favorilere Ekle