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Lecture 9 - Encoder network
Avatar NIKOLA ANDRIĆ MITROVIĆ
NIKOLA ANDRIĆ MITROVIĆ
Avatar NIKOLA ANDRIĆ MITROVIĆ
NIKOLA ANDRIĆ MITROVIĆ
 0
lecture8- sigmoid derivative
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
 0
Lecture 9 - Perceptron Vs SVM
Avatar TAHA ENAYAT
TAHA ENAYAT
Avatar TAHA ENAYAT
TAHA ENAYAT
 0
lecture12_ranged variables preprocessing
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
 0
Titanic Dataset
Avatar TAHA ENAYAT
TAHA ENAYAT
Avatar TAHA ENAYAT
TAHA ENAYAT
 0
Lecture-08 Demonstration of the Sigmoid Derivative
Avatar Nicolò Predenz
Nicolò Predenz
Avatar Nicolò Predenz
Nicolò Predenz
 0
Lecture 9 - Neural Network implementation
Avatar SAMUELE POZZEBON
SAMUELE POZZEBON
Avatar SAMUELE POZZEBON
SAMUELE POZZEBON
 0
Wine dataset - Experimenting with different models for multiclassification
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
Lecture-12 Preprocessing
Avatar Nicolò Predenz
Nicolò Predenz
Avatar Nicolò Predenz
Nicolò Predenz
 0
Bias and Variance evaluation in a controlled regression task
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
 0
SVM Implementation using Hinge Loss and Stochastic Gradient Descent
Avatar SOLMAZ MOHAMMADI
SOLMAZ MOHAMMADI
Avatar SOLMAZ MOHAMMADI
SOLMAZ MOHAMMADI
 0
Prove that, if the Perceptron algorithm is initialized with the null vector, then the coefficient...
Avatar ANDREA FAVERO
ANDREA FAVERO
Avatar ANDREA FAVERO
ANDREA FAVERO
 0
Lecture 9 - Backprop to more than one hidden layer
Avatar NIKOLA ANDRIĆ MITROVIĆ
NIKOLA ANDRIĆ MITROVIĆ
Avatar NIKOLA ANDRIĆ MITROVIĆ
NIKOLA ANDRIĆ MITROVIĆ
 0
LECT14 - Simple CNN on MNIST dataset using Keras
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
Lecture 14 Autoencoders MNIST
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
Lecture 12 range-type variables
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
Lecture 12 range-type variable representation
Avatar NILA AKBARI
NILA AKBARI
Avatar NILA AKBARI
NILA AKBARI
 0
Lecture 14 PCA
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
SVM and Kernel comparison from lectures on "(Generalized) Linear Models and SVM"
Avatar ANDREA FAVERO
ANDREA FAVERO
Avatar ANDREA FAVERO
ANDREA FAVERO
 0
SVM motivation
Avatar ANDREA FAVERO
ANDREA FAVERO
Avatar ANDREA FAVERO
ANDREA FAVERO
 0
November activities
Avatar DAMIANO MASON
DAMIANO MASON
Avatar DAMIANO MASON
DAMIANO MASON
 0
November lectures exercises
Avatar DAVIDE ZANARINI
DAVIDE ZANARINI
Avatar DAVIDE ZANARINI
DAVIDE ZANARINI
 0
Proof of the sigmoid derivative
Avatar ANDREA FAVERO
ANDREA FAVERO
Avatar ANDREA FAVERO
ANDREA FAVERO
 0
Linear Regression model and working with data on TITANIK dataset
Avatar Moones Mobaraki
Moones Mobaraki
Avatar Moones Mobaraki
Moones Mobaraki
 0
Lect12-Numeric variables vs ad-hoc encoding
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
 0
Lect14-PCA on Iris dataset
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
 0
Lect07-Perceptron_algorithm
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
 0
PCA on Iris
Avatar TAHA ENAYAT
TAHA ENAYAT
Avatar TAHA ENAYAT
TAHA ENAYAT
 0
Lecture 12 titanic
Avatar DAICHI ANDO
DAICHI ANDO
Avatar DAICHI ANDO
DAICHI ANDO
 0
Autoencoders on the MNIST dataset
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
 0
PCA on IRIS dataset
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
 0
Sklearn Feature Selection methods
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
 0
Preprocessing of Titanic dataset
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
 0
Lecture 14 - CNN on MNIST dataset
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
Perceptron initialized with null vector
Avatar Sara Feizyab
Sara Feizyab
Avatar Sara Feizyab
Sara Feizyab
 0
Lez 8 - Part 1 (Sigmoid Derivative)
Avatar SEPASEH HAKIMINEJAD
SEPASEH HAKIMINEJAD
Avatar SEPASEH HAKIMINEJAD
SEPASEH HAKIMINEJAD
 0
Lez7 - Perceptron in Python
Avatar SEPASEH HAKIMINEJAD
SEPASEH HAKIMINEJAD
Avatar SEPASEH HAKIMINEJAD
SEPASEH HAKIMINEJAD
 0
Lecture 8 exercise
Avatar SANJAR TLEPIN
SANJAR TLEPIN
Avatar SANJAR TLEPIN
SANJAR TLEPIN
 0
Lez 7 - Part 2 (Null initializing)
Avatar SEPASEH HAKIMINEJAD
SEPASEH HAKIMINEJAD
Avatar SEPASEH HAKIMINEJAD
SEPASEH HAKIMINEJAD
 0
Lez7 - Boolean Functions
Avatar SEPASEH HAKIMINEJAD
SEPASEH HAKIMINEJAD
Avatar SEPASEH HAKIMINEJAD
SEPASEH HAKIMINEJAD
 0
SVM(Regression)
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
 1
SVM(Classification)
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
 1
Trying PCA on the IRIS dataset in sklearn
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
 1
Lesson 14_3
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
L14 - Autoencoder
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
 0
Lecture 14 CNNs on CIFAR dataset
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
Lecture 7: Implementation of A and not B
Avatar MARVIN JOHANNES HEIDINGER
MARVIN JOHANNES HEIDINGER
Avatar MARVIN JOHANNES HEIDINGER
MARVIN JOHANNES HEIDINGER
 0
lesson 9- backprop
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
Lecture 14
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 14 CNN
Avatar NILA AKBARI
NILA AKBARI
Avatar NILA AKBARI
NILA AKBARI
 0
Lecture 12 Titanic Preprocessing
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
Multi-layer Perceptron (Classification)
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
 0
Lecture 14 MNIST
Avatar NILA AKBARI
NILA AKBARI
Avatar NILA AKBARI
NILA AKBARI
 0
Multi-layer Perceptron (Regression)
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
Avatar Shakiba Farjood Fashalami
Shakiba Farjood Fashalami
 0
L14 - PCA
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
 0
Lez14IRIS
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
lecture 7-Exercise 2
Avatar Niloufar Etehadi
Niloufar Etehadi
Avatar Niloufar Etehadi
Niloufar Etehadi
 0
Lecture 14
Avatar NILA AKBARI
NILA AKBARI
Avatar NILA AKBARI
NILA AKBARI
 0
lecture 7- Exercise 1
Avatar Niloufar Etehadi
Niloufar Etehadi
Avatar Niloufar Etehadi
Niloufar Etehadi
 0
lecture 4
Avatar Niloufar Etehadi
Niloufar Etehadi
Avatar Niloufar Etehadi
Niloufar Etehadi
 0
Derivation of Backprop (multi layer)
Avatar Sara Feizyab
Sara Feizyab
Avatar Sara Feizyab
Sara Feizyab
 0
CNN on CIFAR10
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
 0
Sigmoid function derivative
Avatar Sara Feizyab
Sara Feizyab
Avatar Sara Feizyab
Sara Feizyab
 0
bias and variance
Avatar DAICHI ANDO
DAICHI ANDO
Avatar DAICHI ANDO
DAICHI ANDO
 0
Lecture 10: SVM
Avatar DAICHI ANDO
DAICHI ANDO
Avatar DAICHI ANDO
DAICHI ANDO
 0
Autoencoder on MNIST dataset
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
 0
Lecture 13 Bias and Variance
Avatar DENNIS RODERMUND
DENNIS RODERMUND
Avatar DENNIS RODERMUND
DENNIS RODERMUND
 0
Lecture 12
Avatar Mahshad Golafshan
Mahshad Golafshan
Avatar Mahshad Golafshan
Mahshad Golafshan
 0
Lecture 10/11, SVM VS NN
Avatar Mahshad Golafshan
Mahshad Golafshan
Avatar Mahshad Golafshan
Mahshad Golafshan
 0
Lecture 8 - Delta rule implementation
Avatar NIKOLA ANDRIĆ MITROVIĆ
NIKOLA ANDRIĆ MITROVIĆ
Avatar NIKOLA ANDRIĆ MITROVIĆ
NIKOLA ANDRIĆ MITROVIĆ
 0
Lecture 9: Identity Network
Avatar MARVIN JOHANNES HEIDINGER
MARVIN JOHANNES HEIDINGER
Avatar MARVIN JOHANNES HEIDINGER
MARVIN JOHANNES HEIDINGER
 0
Lecture 9
Avatar Mahshad Golafshan
Mahshad Golafshan
Avatar Mahshad Golafshan
Mahshad Golafshan
 0
Deduction of the formula Bias, Variance and Square Error
Avatar JUAN BAEZA RUIZ-HENESTROSA
JUAN BAEZA RUIZ-HENESTROSA
Avatar JUAN BAEZA RUIZ-HENESTROSA
JUAN BAEZA RUIZ-HENESTROSA
 0
PCA on IRIS
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
 0
PCA on IRIS dataset
Avatar JUAN BAEZA RUIZ-HENESTROSA
JUAN BAEZA RUIZ-HENESTROSA
Avatar JUAN BAEZA RUIZ-HENESTROSA
JUAN BAEZA RUIZ-HENESTROSA
 0
Lecture 14 - CNN on CIFAR10 Dataset
Avatar Salvatore Gatto
Salvatore Gatto
Avatar Salvatore Gatto
Salvatore Gatto
 0
Preprocessing the TITANIC dataset and using predictive models
Avatar Sara Feizyab
Sara Feizyab
Avatar Sara Feizyab
Sara Feizyab
 0
Kernels and SVM
Avatar Moones Mobaraki
Moones Mobaraki
Avatar Moones Mobaraki
Moones Mobaraki
 0
Effect of preprocessing data in classification accuracy
Avatar JUAN BAEZA RUIZ-HENESTROSA
JUAN BAEZA RUIZ-HENESTROSA
Avatar JUAN BAEZA RUIZ-HENESTROSA
JUAN BAEZA RUIZ-HENESTROSA
 0
Self-Organizing Map with Code
Avatar Moones Mobaraki
Moones Mobaraki
Avatar Moones Mobaraki
Moones Mobaraki
 0
Lectture 14 - Exercise CNNs on CIFAR dataset
Avatar ALESSANDRO RESTA
ALESSANDRO RESTA
Avatar ALESSANDRO RESTA
ALESSANDRO RESTA
 0
Lecture 14 - PCA on Iris Dataset
Avatar Salvatore Gatto
Salvatore Gatto
Avatar Salvatore Gatto
Salvatore Gatto
 0
Backprop algorithm with a hidden layer
Avatar Sara Feizyab
Sara Feizyab
Avatar Sara Feizyab
Sara Feizyab
 0
Lecture 14 - Autoencoders on the MNIST dataset
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
Lec 13 - Bias and Variance evaluation
Avatar Riccardo Cappi
Riccardo Cappi
Avatar Riccardo Cappi
Riccardo Cappi
 0
L13 - Bias and Variance
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
 0
Lecture 14 - PCA on IRIS and MNIST datasets
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
Preprocessing and Perceptron sklearn
Avatar AMIR SADEGHI
AMIR SADEGHI
Avatar AMIR SADEGHI
AMIR SADEGHI
 0
Preprocessing of the titanic dataset
Avatar Matteo Gioele Collu
Matteo Gioele Collu
Avatar Matteo Gioele Collu
Matteo Gioele Collu
 0
Lecture 12: preprocess Titanic dataset
Avatar LORENZO D'ANTONI
LORENZO D'ANTONI
Avatar LORENZO D'ANTONI
LORENZO D'ANTONI
 0
lecture 12 model selection on TITANIC dataset
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
lecture 09 backprop for multilayer NNs
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 12 Titanic
Avatar DENNIS RODERMUND
DENNIS RODERMUND
Avatar DENNIS RODERMUND
DENNIS RODERMUND
 0
Range-type variables encoding
Avatar Matteo Gioele Collu
Matteo Gioele Collu
Avatar Matteo Gioele Collu
Matteo Gioele Collu
 0
Using the ID3 algorithm, compute the Decision Tree for AND,OR,NOR
Avatar AVA LOUISE FINNEGAN
AVA LOUISE FINNEGAN
Avatar AVA LOUISE FINNEGAN
AVA LOUISE FINNEGAN
 0
Lecture 13 Exercise 2
Avatar HOU CHENG LAM
HOU CHENG LAM
Avatar HOU CHENG LAM
HOU CHENG LAM
 0
Lecture 13 - To Show the Effect that Overfitting and Underfitting have on Variance and Bias¶
Avatar AVA LOUISE FINNEGAN
AVA LOUISE FINNEGAN
Avatar AVA LOUISE FINNEGAN
AVA LOUISE FINNEGAN
 0
Activities
Avatar TAMAR MORIN
TAMAR MORIN
Avatar TAMAR MORIN
TAMAR MORIN
 0
Derivation of backpropagation with more than one layer
Avatar Matteo Gioele Collu
Matteo Gioele Collu
Avatar Matteo Gioele Collu
Matteo Gioele Collu
 0
Decision Tree on Car Evaluation dataset
Avatar MARCO ANDREA LIMONGELLI
MARCO ANDREA LIMONGELLI
Avatar MARCO ANDREA LIMONGELLI
MARCO ANDREA LIMONGELLI
 0