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001.Welcome to the Deep Learning Specialization/001. Welcome.mp4
10.21MB
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001.Welcome to the Deep Learning Specialization/001. Welcome.srt
8.83KB
002.Introduction to Deep Learning/002. What is a neural network.mp4
9.97MB
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002.Introduction to Deep Learning/002. What is a neural network.srt
9.86KB
002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.mp4
12.9MB
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002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.srt
11.9KB
002.Introduction to Deep Learning/004. Why is Deep Learning taking off.mp4
18.64MB
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002.Introduction to Deep Learning/004. Why is Deep Learning taking off.srt
17.85KB
002.Introduction to Deep Learning/005. About this Course.mp4
4.66MB
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002.Introduction to Deep Learning/005. About this Course.srt
4.35KB
002.Introduction to Deep Learning/006. Course Resources.mp4
2.5MB
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002.Introduction to Deep Learning/006. Course Resources.srt
3.63KB
003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.mp4
191.76MB
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003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.srt
57.5KB
004.Logistic Regression as a Neural Network/008. Binary Classification.mp4
15.24MB
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004.Logistic Regression as a Neural Network/008. Binary Classification.srt
10.57KB
004.Logistic Regression as a Neural Network/009. Logistic Regression.mp4
8.48MB
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004.Logistic Regression as a Neural Network/009. Logistic Regression.srt
7.56KB
004.Logistic Regression as a Neural Network/010. Logistic Regression Cost Function.mp4
13.19MB
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004.Logistic Regression as a Neural Network/010. Logistic Regression Cost Function.srt
11KB
004.Logistic Regression as a Neural Network/011. Gradient Descent.mp4
17.05MB
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004.Logistic Regression as a Neural Network/011. Gradient Descent.srt
15.36KB
004.Logistic Regression as a Neural Network/012. Derivatives.mp4
13.41MB
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004.Logistic Regression as a Neural Network/012. Derivatives.srt
12.01KB
004.Logistic Regression as a Neural Network/013. More Derivative Examples.mp4
16.76MB
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004.Logistic Regression as a Neural Network/013. More Derivative Examples.srt
12.87KB
004.Logistic Regression as a Neural Network/014. Computation graph.mp4
5.66MB
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004.Logistic Regression as a Neural Network/014. Computation graph.srt
4.29KB
004.Logistic Regression as a Neural Network/015. Derivatives with a Computation Graph.mp4
21.69MB
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004.Logistic Regression as a Neural Network/015. Derivatives with a Computation Graph.srt
16.31KB
004.Logistic Regression as a Neural Network/016. Logistic Regression Gradient Descent.mp4
11.15MB
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004.Logistic Regression as a Neural Network/016. Logistic Regression Gradient Descent.srt
8.97KB
004.Logistic Regression as a Neural Network/017. Gradient Descent on m Examples.mp4
12.17MB
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004.Logistic Regression as a Neural Network/017. Gradient Descent on m Examples.srt
12.29KB
005.Python and Vectorization/018. Vectorization.mp4
12.6MB
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005.Python and Vectorization/018. Vectorization.srt
9.62KB
005.Python and Vectorization/019. More Vectorization Examples.mp4
10.34MB
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005.Python and Vectorization/019. More Vectorization Examples.srt
7.39KB
005.Python and Vectorization/020. Vectorizing Logistic Regression.mp4
11.46MB
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005.Python and Vectorization/020. Vectorizing Logistic Regression.srt
9.59KB
005.Python and Vectorization/021. Vectorizing Logistic Regression's Gradient Output.mp4
15.55MB
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005.Python and Vectorization/021. Vectorizing Logistic Regression's Gradient Output.srt
10.74KB
005.Python and Vectorization/022. Broadcasting in Python.mp4
16.17MB
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005.Python and Vectorization/022. Broadcasting in Python.srt
14KB
005.Python and Vectorization/023. A note on python numpy vectors.mp4
12.36MB
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005.Python and Vectorization/023. A note on python numpy vectors.srt
9.04KB
005.Python and Vectorization/024. Quick tour of Jupyter iPython Notebooks.mp4
9.23MB
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005.Python and Vectorization/024. Quick tour of Jupyter iPython Notebooks.srt
5.78KB
005.Python and Vectorization/025. Explanation of logistic regression cost function (optional).mp4
10.47MB
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005.Python and Vectorization/025. Explanation of logistic regression cost function (optional).srt
8.5KB
006.Heroes of Deep Learning (Optional)/026. Pieter Abbeel interview.mp4
80.04MB
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006.Heroes of Deep Learning (Optional)/026. Pieter Abbeel interview.srt
26.86KB
007.Shallow Neural Network/027. Neural Networks Overview.mp4
7.23MB
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007.Shallow Neural Network/027. Neural Networks Overview.srt
6.61KB
007.Shallow Neural Network/028. Neural Network Representation.mp4
8.26MB
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007.Shallow Neural Network/028. Neural Network Representation.srt
8.09KB
007.Shallow Neural Network/029. Computing a Neural Network's Output.mp4
16.32MB
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007.Shallow Neural Network/029. Computing a Neural Network's Output.srt
16.52KB
007.Shallow Neural Network/030. Vectorizing across multiple examples.mp4
13.86MB
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007.Shallow Neural Network/030. Vectorizing across multiple examples.srt
10.06KB
007.Shallow Neural Network/031. Explanation for Vectorized Implementation.mp4
11.97MB
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007.Shallow Neural Network/031. Explanation for Vectorized Implementation.srt
8.67KB
007.Shallow Neural Network/032. Activation functions.mp4
19.93MB
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007.Shallow Neural Network/032. Activation functions.srt
17.03KB
007.Shallow Neural Network/033. Why do you need non-linear activation functions.mp4
9.29MB
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007.Shallow Neural Network/033. Why do you need non-linear activation functions.srt
7.74KB
007.Shallow Neural Network/034. Derivatives of activation functions.mp4
11.38MB
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007.Shallow Neural Network/034. Derivatives of activation functions.srt
11.29KB
007.Shallow Neural Network/035. Gradient descent for Neural Networks.mp4
16.01MB
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007.Shallow Neural Network/035. Gradient descent for Neural Networks.srt
13.44KB
007.Shallow Neural Network/036. Backpropagation intuition (optional).mp4
26.04MB
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007.Shallow Neural Network/036. Backpropagation intuition (optional).srt
17.72KB
007.Shallow Neural Network/037. Random Initialization.mp4
11.96MB
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007.Shallow Neural Network/037. Random Initialization.srt
10.39KB
008.Heroes of Deep Learning (Optional)/038. Ian Goodfellow interview.mp4
54.53MB
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008.Heroes of Deep Learning (Optional)/038. Ian Goodfellow interview.srt
23.08KB
009.Deep Neural Network/039. Deep L-layer neural network.mp4
10.35MB
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009.Deep Neural Network/039. Deep L-layer neural network.srt
7.4KB
009.Deep Neural Network/040. Forward Propagation in a Deep Network.mp4
13.02MB
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009.Deep Neural Network/040. Forward Propagation in a Deep Network.srt
9.89KB
009.Deep Neural Network/041. Getting your matrix dimensions right.mp4
17.35MB
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009.Deep Neural Network/041. Getting your matrix dimensions right.srt
11.43KB
009.Deep Neural Network/042. Why deep representations.mp4
17.59MB
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009.Deep Neural Network/042. Why deep representations.srt
14.53KB
009.Deep Neural Network/043. Building blocks of deep neural networks.mp4
12.81MB
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009.Deep Neural Network/043. Building blocks of deep neural networks.srt
10.91KB
009.Deep Neural Network/044. Forward and Backward Propagation.mp4
19.8MB
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009.Deep Neural Network/044. Forward and Backward Propagation.srt
13.43KB
009.Deep Neural Network/045. Parameters vs Hyperparameters.mp4
10.21MB
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009.Deep Neural Network/045. Parameters vs Hyperparameters.srt
13KB
009.Deep Neural Network/046. What does this have to do with the brain.mp4
6MB
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009.Deep Neural Network/046. What does this have to do with the brain.srt
5.64KB
[FreeCoursesOnline.Me].url
133B
[FreeTutorials.Us].url
119B
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