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TORRENT DETAILS

[CourseClub.NET] Coursera - Neural Networks And Deep Learning

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	9d4ab63e818a10f7c0054d8dbe135e73f64ae06f
Size:	878.1 MB in 92 files
Release Date(s):	Torrent Release: 24-09-2018 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

[Coursera] Neural Networks and Deep Learning

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities.

For More Courses: https://courseclub.net

For Udemy Courses Visit: https://desirecourse.com

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FILE LIST

Filename		Size
	001.Welcome to the Deep Learning Specialization/001. Welcome.mp4	10.2 MB
	001.Welcome to the Deep Learning Specialization/001. Welcome.srt	8.8 KB
	002.Introduction to Deep Learning/002. What is a neural network.mp4	10 MB
	002.Introduction to Deep Learning/002. What is a neural network.srt	9.9 KB
	002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.mp4	12.9 MB
	002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.srt	11.9 KB
	002.Introduction to Deep Learning/004. Why is Deep Learning taking off.mp4	18.6 MB
	002.Introduction to Deep Learning/004. Why is Deep Learning taking off.srt	17.9 KB
	002.Introduction to Deep Learning/005. About this Course.mp4	4.7 MB
	002.Introduction to Deep Learning/005. About this Course.srt	4.3 KB
	002.Introduction to Deep Learning/006. Course Resources.mp4	2.5 MB
	002.Introduction to Deep Learning/006. Course Resources.srt	3.6 KB
	003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.mp4	191.8 MB
	003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.srt	57.5 KB
	004.Logistic Regression as a Neural Network/008. Binary Classification.mp4	15.2 MB
	004.Logistic Regression as a Neural Network/008. Binary Classification.srt	10.6 KB
	004.Logistic Regression as a Neural Network/009. Logistic Regression.mp4	8.5 MB
	004.Logistic Regression as a Neural Network/009. Logistic Regression.srt	7.6 KB
	004.Logistic Regression as a Neural Network/010. Logistic Regression Cost Function.mp4	13.2 MB
	004.Logistic Regression as a Neural Network/010. Logistic Regression Cost Function.srt	11 KB
	004.Logistic Regression as a Neural Network/011. Gradient Descent.mp4	17 MB
	004.Logistic Regression as a Neural Network/011. Gradient Descent.srt	15.4 KB
	004.Logistic Regression as a Neural Network/012. Derivatives.mp4	13.4 MB
	004.Logistic Regression as a Neural Network/012. Derivatives.srt	12 KB
	004.Logistic Regression as a Neural Network/013. More Derivative Examples.mp4	16.8 MB
	004.Logistic Regression as a Neural Network/013. More Derivative Examples.srt	12.9 KB
	004.Logistic Regression as a Neural Network/014. Computation graph.mp4	5.7 MB
	004.Logistic Regression as a Neural Network/014. Computation graph.srt	4.3 KB
	004.Logistic Regression as a Neural Network/015. Derivatives with a Computation Graph.mp4	21.7 MB
	004.Logistic Regression as a Neural Network/015. Derivatives with a Computation Graph.srt	16.3 KB
	004.Logistic Regression as a Neural Network/016. Logistic Regression Gradient Descent.mp4	11.2 MB
	004.Logistic Regression as a Neural Network/016. Logistic Regression Gradient Descent.srt	9 KB
	004.Logistic Regression as a Neural Network/017. Gradient Descent on m Examples.mp4	12.2 MB
	004.Logistic Regression as a Neural Network/017. Gradient Descent on m Examples.srt	12.3 KB
	005.Python and Vectorization/018. Vectorization.mp4	12.6 MB
	005.Python and Vectorization/018. Vectorization.srt	9.6 KB
	005.Python and Vectorization/019. More Vectorization Examples.mp4	10.3 MB
	005.Python and Vectorization/019. More Vectorization Examples.srt	7.4 KB
	005.Python and Vectorization/020. Vectorizing Logistic Regression.mp4	11.5 MB
	005.Python and Vectorization/020. Vectorizing Logistic Regression.srt	9.6 KB
	005.Python and Vectorization/021. Vectorizing Logistic Regression's Gradient Output.mp4	15.5 MB
	005.Python and Vectorization/021. Vectorizing Logistic Regression's Gradient Output.srt	10.7 KB
	005.Python and Vectorization/022. Broadcasting in Python.mp4	16.2 MB
	005.Python and Vectorization/022. Broadcasting in Python.srt	14 KB
	005.Python and Vectorization/023. A note on python numpy vectors.mp4	12.4 MB
	005.Python and Vectorization/023. A note on python numpy vectors.srt	9 KB
	005.Python and Vectorization/024. Quick tour of Jupyter iPython Notebooks.mp4	9.2 MB
	005.Python and Vectorization/024. Quick tour of Jupyter iPython Notebooks.srt	5.8 KB
	005.Python and Vectorization/025. Explanation of logistic regression cost function (optional).mp4	10.5 MB
	005.Python and Vectorization/025. Explanation of logistic regression cost function (optional).srt	8.5 KB
	006.Heroes of Deep Learning (Optional)/026. Pieter Abbeel interview.mp4	80 MB
	006.Heroes of Deep Learning (Optional)/026. Pieter Abbeel interview.srt	26.9 KB
	007.Shallow Neural Network/027. Neural Networks Overview.mp4	7.2 MB
	007.Shallow Neural Network/027. Neural Networks Overview.srt	6.6 KB
	007.Shallow Neural Network/028. Neural Network Representation.mp4	8.3 MB
	007.Shallow Neural Network/028. Neural Network Representation.srt	8.1 KB
	007.Shallow Neural Network/029. Computing a Neural Network's Output.mp4	16.3 MB
	007.Shallow Neural Network/029. Computing a Neural Network's Output.srt	16.5 KB
	007.Shallow Neural Network/030. Vectorizing across multiple examples.mp4	13.9 MB
	007.Shallow Neural Network/030. Vectorizing across multiple examples.srt	10.1 KB
	007.Shallow Neural Network/031. Explanation for Vectorized Implementation.mp4	12 MB
	007.Shallow Neural Network/031. Explanation for Vectorized Implementation.srt	8.7 KB
	007.Shallow Neural Network/032. Activation functions.mp4	19.9 MB
	007.Shallow Neural Network/032. Activation functions.srt	17 KB
	007.Shallow Neural Network/033. Why do you need non-linear activation functions.mp4	9.3 MB
	007.Shallow Neural Network/033. Why do you need non-linear activation functions.srt	7.7 KB
	007.Shallow Neural Network/034. Derivatives of activation functions.mp4	11.4 MB
	007.Shallow Neural Network/034. Derivatives of activation functions.srt	11.3 KB
	007.Shallow Neural Network/035. Gradient descent for Neural Networks.mp4	16 MB
	007.Shallow Neural Network/035. Gradient descent for Neural Networks.srt	13.4 KB
	007.Shallow Neural Network/036. Backpropagation intuition (optional).mp4	26 MB
	007.Shallow Neural Network/036. Backpropagation intuition (optional).srt	17.7 KB
	007.Shallow Neural Network/037. Random Initialization.mp4	12 MB
	007.Shallow Neural Network/037. Random Initialization.srt	10.4 KB
	008.Heroes of Deep Learning (Optional)/038. Ian Goodfellow interview.mp4	54.5 MB
	008.Heroes of Deep Learning (Optional)/038. Ian Goodfellow interview.srt	23.1 KB
	009.Deep Neural Network/039. Deep L-layer neural network.mp4	10.3 MB
	009.Deep Neural Network/039. Deep L-layer neural network.srt	7.4 KB
	009.Deep Neural Network/040. Forward Propagation in a Deep Network.mp4	13 MB
	009.Deep Neural Network/040. Forward Propagation in a Deep Network.srt	9.9 KB
	009.Deep Neural Network/041. Getting your matrix dimensions right.mp4	17.4 MB
	009.Deep Neural Network/041. Getting your matrix dimensions right.srt	11.4 KB
	009.Deep Neural Network/042. Why deep representations.mp4	17.6 MB
	009.Deep Neural Network/042. Why deep representations.srt	14.5 KB
	009.Deep Neural Network/043. Building blocks of deep neural networks.mp4	12.8 MB
	009.Deep Neural Network/043. Building blocks of deep neural networks.srt	10.9 KB
	009.Deep Neural Network/044. Forward and Backward Propagation.mp4	19.8 MB
	009.Deep Neural Network/044. Forward and Backward Propagation.srt	13.4 KB
	009.Deep Neural Network/045. Parameters vs Hyperparameters.mp4	10.2 MB
	009.Deep Neural Network/045. Parameters vs Hyperparameters.srt	13 KB
	009.Deep Neural Network/046. What does this have to do with the brain.mp4	6 MB
	009.Deep Neural Network/046. What does this have to do with the brain.srt	5.6 KB

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