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TORRENT DETAILS

[UdemyCourseDownloader] Deep Learning Prerequisites Logistic Regression In Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	795d8ae27fbab24eb25a108635fdcaa26138177c
Size:	424.5 MB in 40 files
Release Date(s):	Torrent Release: 16-11-2018 by user
Swarm:	0 Seeds & 0 Peers
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DESCRIPTION

Description

This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python.

This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.

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FILE LIST

Filename		Size
	01 Start Here/001 Introduction and Outline.mp4	7.5 MB
	01 Start Here/002 How to Succeed in this Course.mp4	8.8 MB
	01 Start Here/003 Review of the classification problem.mp4	3 MB
	01 Start Here/004 Introduction to the E-Commerce Course Project.mp4	14.8 MB
	01 Start Here/quizzes/001 Easy first quiz.html	2.4 KB
	02 Basics What is linear classification Whats the relation to neural networks/005 Linear Classification.mp4	7.5 MB
	02 Basics What is linear classification Whats the relation to neural networks/006 Biological inspiration - the neuron.mp4	4.2 MB
	02 Basics What is linear classification Whats the relation to neural networks/007 How do we calculate the output of a neuron logistic classifier - Theory.mp4	7.5 MB
	02 Basics What is linear classification Whats the relation to neural networks/008 How do we calculate the output of a neuron logistic classifier - Code.mp4	5.8 MB
	02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4	11.2 MB
	02 Basics What is linear classification Whats the relation to neural networks/010 E-Commerce Course Project Making Predictions.mp4	5.7 MB
	03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4	10 MB
	03 Solving for the optimal weights/012 What do all these symbols mean X Y N D L J PY1X etc..mp4	6.4 MB
	03 Solving for the optimal weights/013 The cross-entropy error function - Theory.mp4	4.5 MB
	03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4	9.1 MB
	03 Solving for the optimal weights/015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4	5.3 MB
	03 Solving for the optimal weights/016 Maximizing the likelihood.mp4	12.7 MB
	03 Solving for the optimal weights/017 Updating the weights using gradient descent - Theory.mp4	9.3 MB
	03 Solving for the optimal weights/018 Updating the weights using gradient descent - Code.mp4	7.2 MB
	03 Solving for the optimal weights/019 E-Commerce Course Project Training the Logistic Model.mp4	17.1 MB
	04 Practical concerns/020 Interpreting the Weights.mp4	6.3 MB
	04 Practical concerns/021 L2 Regularization - Theory.mp4	14.7 MB
	04 Practical concerns/022 L2 Regularization - Code.mp4	4.5 MB
	04 Practical concerns/023 L1 Regularization - Theory.mp4	4.4 MB
	04 Practical concerns/024 L1 Regularization - Code.mp4	12 MB
	04 Practical concerns/025 L1 vs L2 Regularization.mp4	4.8 MB
	04 Practical concerns/026 The donut problem.mp4	24.7 MB
	04 Practical concerns/027 The XOR problem.mp4	14.2 MB
	05 Checkpoint and applications How to make sure you know your stuff/028 BONUS Sentiment Analysis.mp4	11.4 MB
	05 Checkpoint and applications How to make sure you know your stuff/029 BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4 MB
	05 Checkpoint and applications How to make sure you know your stuff/030 BONUS Exercises how to get good at this.mp4	5.3 MB
	06 Project Facial Expression Recognition/031 Facial Expression Recognition Problem Description.mp4	21.4 MB
	06 Project Facial Expression Recognition/032 The class imbalance problem.mp4	10.1 MB
	06 Project Facial Expression Recognition/033 Utilities walkthrough.mp4	13.5 MB
	06 Project Facial Expression Recognition/034 Facial Expression Recognition in Code.mp4	24 MB
	07 Appendix/035 Gradient Descent Tutorial.mp4	8.4 MB
	07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	43.9 MB
	07 Appendix/037 How to Code by Yourself part 1.mp4	24.5 MB
	07 Appendix/038 How to Code by Yourself part 2.mp4	14.8 MB
	Udemy Course downloader.txt	94 B

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