[CourseClub.NET] Coursera - Neural Networks and Deep Learning
大小
878.12 MB
文件数
96
Info Hash:
9D4AB63E818A10F7C0054D8DBE135E73F64AE06F
收录时间
2026-01-04 18:19:16
更新时间
2026-01-04 18:19:16
文件列表 (96)
001.Welcome to the Deep Learning Specialization/001. Welcome.mp4
10.21 MB
001.Welcome to the Deep Learning Specialization/001. Welcome.srt
8.83 KB
002.Introduction to Deep Learning/002. What is a neural network.mp4
9.97 MB
002.Introduction to Deep Learning/002. What is a neural network.srt
9.86 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
18.64 MB
002.Introduction to Deep Learning/004. Why is Deep Learning taking off.srt
17.85 KB
002.Introduction to Deep Learning/005. About this Course.mp4
4.66 MB
002.Introduction to Deep Learning/005. About this Course.srt
4.35 KB
002.Introduction to Deep Learning/006. Course Resources.mp4
2.5 MB
002.Introduction to Deep Learning/006. Course Resources.srt
3.63 KB
003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.mp4
191.76 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
15.24 MB
004.Logistic Regression as a Neural Network/008. Binary Classification.srt
10.57 KB
004.Logistic Regression as a Neural Network/009. Logistic Regression.mp4
8.48 MB
004.Logistic Regression as a Neural Network/009. Logistic Regression.srt
7.56 KB
004.Logistic Regression as a Neural Network/010. Logistic Regression Cost Function.mp4
13.19 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
17.05 MB
004.Logistic Regression as a Neural Network/011. Gradient Descent.srt
15.36 KB
004.Logistic Regression as a Neural Network/012. Derivatives.mp4
13.41 MB
004.Logistic Regression as a Neural Network/012. Derivatives.srt
12.01 KB
004.Logistic Regression as a Neural Network/013. More Derivative Examples.mp4
16.76 MB
004.Logistic Regression as a Neural Network/013. More Derivative Examples.srt
12.87 KB
004.Logistic Regression as a Neural Network/014. Computation graph.mp4
5.66 MB
004.Logistic Regression as a Neural Network/014. Computation graph.srt
4.29 KB
004.Logistic Regression as a Neural Network/015. Derivatives with a Computation Graph.mp4
21.69 MB
004.Logistic Regression as a Neural Network/015. Derivatives with a Computation Graph.srt
16.31 KB
004.Logistic Regression as a Neural Network/016. Logistic Regression Gradient Descent.mp4
11.15 MB
004.Logistic Regression as a Neural Network/016. Logistic Regression Gradient Descent.srt
8.97 KB
004.Logistic Regression as a Neural Network/017. Gradient Descent on m Examples.mp4
12.17 MB
004.Logistic Regression as a Neural Network/017. Gradient Descent on m Examples.srt
12.29 KB
005.Python and Vectorization/018. Vectorization.mp4
12.6 MB
005.Python and Vectorization/018. Vectorization.srt
9.62 KB
005.Python and Vectorization/019. More Vectorization Examples.mp4
10.34 MB
005.Python and Vectorization/019. More Vectorization Examples.srt
7.39 KB
005.Python and Vectorization/020. Vectorizing Logistic Regression.mp4
11.46 MB
005.Python and Vectorization/020. Vectorizing Logistic Regression.srt
9.59 KB
005.Python and Vectorization/021. Vectorizing Logistic Regression's Gradient Output.mp4
15.55 MB
005.Python and Vectorization/021. Vectorizing Logistic Regression's Gradient Output.srt
10.74 KB
005.Python and Vectorization/022. Broadcasting in Python.mp4
16.17 MB
005.Python and Vectorization/022. Broadcasting in Python.srt
14 KB
005.Python and Vectorization/023. A note on python numpy vectors.mp4
12.36 MB
005.Python and Vectorization/023. A note on python numpy vectors.srt
9.04 KB
005.Python and Vectorization/024. Quick tour of Jupyter iPython Notebooks.mp4
9.23 MB
005.Python and Vectorization/024. Quick tour of Jupyter iPython Notebooks.srt
5.78 KB
005.Python and Vectorization/025. Explanation of logistic regression cost function (optional).mp4
10.47 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
80.04 MB
006.Heroes of Deep Learning (Optional)/026. Pieter Abbeel interview.srt
26.86 KB
007.Shallow Neural Network/027. Neural Networks Overview.mp4
7.23 MB
007.Shallow Neural Network/027. Neural Networks Overview.srt
6.61 KB
007.Shallow Neural Network/028. Neural Network Representation.mp4
8.26 MB
007.Shallow Neural Network/028. Neural Network Representation.srt
8.09 KB
007.Shallow Neural Network/029. Computing a Neural Network's Output.mp4
16.32 MB
007.Shallow Neural Network/029. Computing a Neural Network's Output.srt
16.52 KB
007.Shallow Neural Network/030. Vectorizing across multiple examples.mp4
13.86 MB
007.Shallow Neural Network/030. Vectorizing across multiple examples.srt
10.06 KB
007.Shallow Neural Network/031. Explanation for Vectorized Implementation.mp4
11.97 MB
007.Shallow Neural Network/031. Explanation for Vectorized Implementation.srt
8.67 KB
007.Shallow Neural Network/032. Activation functions.mp4
19.93 MB
007.Shallow Neural Network/032. Activation functions.srt
17.03 KB
007.Shallow Neural Network/033. Why do you need non-linear activation functions.mp4
9.29 MB
007.Shallow Neural Network/033. Why do you need non-linear activation functions.srt
7.74 KB
007.Shallow Neural Network/034. Derivatives of activation functions.mp4
11.38 MB
007.Shallow Neural Network/034. Derivatives of activation functions.srt
11.29 KB
007.Shallow Neural Network/035. Gradient descent for Neural Networks.mp4
16.01 MB
007.Shallow Neural Network/035. Gradient descent for Neural Networks.srt
13.44 KB
007.Shallow Neural Network/036. Backpropagation intuition (optional).mp4
26.04 MB
007.Shallow Neural Network/036. Backpropagation intuition (optional).srt
17.72 KB
007.Shallow Neural Network/037. Random Initialization.mp4
11.96 MB
007.Shallow Neural Network/037. Random Initialization.srt
10.39 KB
008.Heroes of Deep Learning (Optional)/038. Ian Goodfellow interview.mp4
54.53 MB
008.Heroes of Deep Learning (Optional)/038. Ian Goodfellow interview.srt
23.08 KB
009.Deep Neural Network/039. Deep L-layer neural network.mp4
10.35 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
13.02 MB
009.Deep Neural Network/040. Forward Propagation in a Deep Network.srt
9.89 KB
009.Deep Neural Network/041. Getting your matrix dimensions right.mp4
17.35 MB
009.Deep Neural Network/041. Getting your matrix dimensions right.srt
11.43 KB
009.Deep Neural Network/042. Why deep representations.mp4
17.59 MB
009.Deep Neural Network/042. Why deep representations.srt
14.53 KB
009.Deep Neural Network/043. Building blocks of deep neural networks.mp4
12.81 MB
009.Deep Neural Network/043. Building blocks of deep neural networks.srt
10.91 KB
009.Deep Neural Network/044. Forward and Backward Propagation.mp4
19.8 MB
009.Deep Neural Network/044. Forward and Backward Propagation.srt
13.43 KB
009.Deep Neural Network/045. Parameters vs Hyperparameters.mp4
10.21 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
5.64 KB
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