[TensorFlow] Lec-02-Simple Liner Regression

preview_player
Показать описание
#모두를위한딥러닝시즌2 #deeplearningzerotoall #TensorFlow
Instructor: 이승준
  1. Deep Learning Zero To All
  2. deeplearningzerotoall
  3. tensorflow
Рекомендации по теме
[TensorFlow] Lec-02-Simple Liner 0:08:44

[TensorFlow] Lec-02-Simple Liner Regression

[TensorFlow] Lab-02 Simple 0:16:36

[TensorFlow] Lab-02 Simple Liner Regression LAB

[TensorFlow] Lec-03 Liner 0:21:02

[TensorFlow] Lec-03 Liner Regression and How to minimize cost

Basic Linear Regression 0:16:03

Basic Linear Regression | Tensorflow | S1 E6 | Absolute beginners | Python | Machine Learning

[TensorFlow] Lab-03 Liner 0:10:36

[TensorFlow] Lab-03 Liner Regression and How to minimize cost LAB

[TensorFlow] Lab-04 Multi 0:14:25

[TensorFlow] Lab-04 Multi variable linear regression LAB

L8.1 Logistic Regression 0:09:15

L8.1 Logistic Regression as a Single-Layer Neural Network

[TensorFlow] Lec-04 Multi 0:17:58

[TensorFlow] Lec-04 Multi variable linear regression

Classification and Regression 0:02:48

Classification and Regression in Machine Learning

[TensorFlow] Lab-05-2 Logistic 0:12:05

[TensorFlow] Lab-05-2 Logistic Regression

TensorFlow 2.0 Tutorial 0:55:15

TensorFlow 2.0 Tutorial For Beginners | TensorFlow 2.0 Image Classification Project | Edureka

Python Project 2 0:15:06

Python Project 2 | Implement Linear Regression from Scratch and Scikit Learn

Predictive Analytics with 0:13:28

Predictive Analytics with TensorFlow: Using Statistics in Predictive Modeling|packtpub.com

Linear Regression Demo 1:07:25

Linear Regression Demo

Neural Networks From 0:06:06

Neural Networks From Scratch - Lec 10 - ReLU & Its Variants

Tensorflow London: Zbigniew 0:32:11

Tensorflow London: Zbigniew Wojna 'Deep Learning for Big Scale 2D Imagery'

noc18-ee31-Lec 46 | 0:17:37

noc18-ee31-Lec 46 | Applied Optimization | Regularization | IIT Kanpur

Transformers Neural Networks 0:31:43

Transformers Neural Networks | NLP with Deep Learning | Deep Learning Tutorial | Edureka Live

What is Supervised 0:02:18

What is Supervised Learning: Non-Linear Regression (Tutorial Part 3) - Taught by Stanford ML PhD

Training and test 0:51:02

Training and test error of linear regression models

Lec 26: SVM 0:20:03

Lec 26: SVM with radial kernel, SVM for multi class classification, SVM vs logistic regression

Gaussian Mixture Models 0:04:49

Gaussian Mixture Models (GMM) Explained

[TensorFlow] Lab-05-3 Logistic 0:09:56

[TensorFlow] Lab-05-3 Logistic Regression

From the Perceptron 0:19:28

From the Perceptron to Deep Learning

Комментарии
Автор

강의 톤도 너무 좋으시고 설명도 너무 잘하세요. 좋은 강의 잘 들었습니다!

minimo