UdemyCourseDownloader Deep Learning Prerequisites Logistic Regression in Python

UdemyCourseDownloader Deep Learning Prerequisites Logistic Regression in Python

Name	[UdemyCourseDownloader] Deep Learning Prerequisites Logistic Regression in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	445.1 MB
Total Files	41
Hash	795D8AE27FBAB24EB25A108635FDCAA26138177C

/07 Appendix/
036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	46.0 MB
035 Gradient Descent Tutorial.mp4	8.8 MB
037 How to Code by Yourself part 1.mp4	25.7 MB
038 How to Code by Yourself part 2.mp4	15.5 MB
/
udemycoursedownloader.com.url	0.1 KB
Udemy Course downloader.txt	0.1 KB
/01 Start Here/
001 Introduction and Outline.mp4	7.9 MB
002 How to Succeed in this Course.mp4	9.2 MB
003 Review of the classification problem.mp4	3.1 MB
004 Introduction to the E-Commerce Course Project.mp4	15.5 MB
/quizzes/
001 Easy first quiz.html	2.5 KB
/02 Basics What is linear classification Whats the relation to neural networks/
005 Linear Classification.mp4	7.9 MB
006 Biological inspiration - the neuron.mp4	4.4 MB
007 How do we calculate the output of a neuron logistic classifier - Theory.mp4	7.8 MB
008 How do we calculate the output of a neuron logistic classifier - Code.mp4	6.1 MB
009 E-Commerce Course Project Pre-Processing the Data.mp4	11.7 MB
010 E-Commerce Course Project Making Predictions.mp4	6.0 MB
/03 Solving for the optimal weights/
011 A closed-form solution to the Bayes classifier.mp4	10.5 MB
012 What do all these symbols mean X Y N D L J PY1X etc..mp4	6.7 MB
013 The cross-entropy error function - Theory.mp4	4.7 MB
014 The cross-entropy error function - Code.mp4	9.5 MB
015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4	5.5 MB
016 Maximizing the likelihood.mp4	13.3 MB
017 Updating the weights using gradient descent - Theory.mp4	9.8 MB
018 Updating the weights using gradient descent - Code.mp4	7.6 MB
019 E-Commerce Course Project Training the Logistic Model.mp4	17.9 MB
/04 Practical concerns/
020 Interpreting the Weights.mp4	6.6 MB
021 L2 Regularization - Theory.mp4	15.4 MB
022 L2 Regularization - Code.mp4	4.7 MB
023 L1 Regularization - Theory.mp4	4.6 MB
024 L1 Regularization - Code.mp4	12.6 MB
025 L1 vs L2 Regularization.mp4	5.0 MB
026 The donut problem.mp4	25.9 MB
027 The XOR problem.mp4	14.9 MB
/05 Checkpoint and applications How to make sure you know your stuff/
028 BONUS Sentiment Analysis.mp4	12.0 MB
029 BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4.2 MB
030 BONUS Exercises how to get good at this.mp4	5.5 MB
/06 Project Facial Expression Recognition/
031 Facial Expression Recognition Problem Description.mp4	22.5 MB
032 The class imbalance problem.mp4	10.6 MB
033 Utilities walkthrough.mp4	14.1 MB
034 Facial Expression Recognition in Code.mp4	25.2 MB
Total files 41