[FreeCoursesOnline Me] Coursera - Neural Networks and Deep Learning
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Torrent Hash : | B6CA0B67C05295BCC1A7C3B61B37E3197D2B691D |
Torrent Added : | 1 Year+ in Other - Other |
Torrent Size : | 878.12 MB |
[FreeCoursesOnline Me] Coursera - Neural Networks and Deep Learning
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Torrent File Content (95 files)
[FreeCoursesOnline.Me] Coursera - Neural Networks and Deep Learning
001.Welcome to the Deep Learning Specialization
001. Welcome.mp4 -
001.Welcome to the Deep Learning Specialization
001. Welcome.mp4 -
10.21 MB
001. Welcome.srt -
8.83 KB
002.Introduction to Deep Learning
002. What is a neural network.mp4 -
002. What is a neural network.mp4 -
9.97 MB
002. What is a neural network.srt -
9.86 KB
003. Supervised Learning with Neural Networks.mp4 -
12.9 MB
003. Supervised Learning with Neural Networks.srt -
11.9 KB
004. Why is Deep Learning taking off.mp4 -
18.64 MB
004. Why is Deep Learning taking off.srt -
17.85 KB
005. About this Course.mp4 -
4.66 MB
005. About this Course.srt -
4.35 KB
006. Course Resources.mp4 -
2.5 MB
006. Course Resources.srt -
3.63 KB
003.Heroes of Deep Learning (Optional)
007. Geoffrey Hinton interview.mp4 -
007. Geoffrey Hinton interview.mp4 -
191.76 MB
007. Geoffrey Hinton interview.srt -
57.5 KB
004.Logistic Regression as a Neural Network
008. Binary Classification.mp4 -
008. Binary Classification.mp4 -
15.24 MB
008. Binary Classification.srt -
10.57 KB
009. Logistic Regression.mp4 -
8.48 MB
009. Logistic Regression.srt -
7.56 KB
010. Logistic Regression Cost Function.mp4 -
13.19 MB
010. Logistic Regression Cost Function.srt -
11 KB
011. Gradient Descent.mp4 -
17.05 MB
011. Gradient Descent.srt -
15.36 KB
012. Derivatives.mp4 -
13.41 MB
012. Derivatives.srt -
12.01 KB
013. More Derivative Examples.mp4 -
16.76 MB
013. More Derivative Examples.srt -
12.87 KB
014. Computation graph.mp4 -
5.66 MB
014. Computation graph.srt -
4.29 KB
015. Derivatives with a Computation Graph.mp4 -
21.69 MB
015. Derivatives with a Computation Graph.srt -
16.31 KB
016. Logistic Regression Gradient Descent.mp4 -
11.15 MB
016. Logistic Regression Gradient Descent.srt -
8.97 KB
017. Gradient Descent on m Examples.mp4 -
12.17 MB
017. Gradient Descent on m Examples.srt -
12.29 KB
005.Python and Vectorization
018. Vectorization.mp4 -
018. Vectorization.mp4 -
12.6 MB
018. Vectorization.srt -
9.62 KB
019. More Vectorization Examples.mp4 -
10.34 MB
019. More Vectorization Examples.srt -
7.39 KB
020. Vectorizing Logistic Regression.mp4 -
11.46 MB
020. Vectorizing Logistic Regression.srt -
9.59 KB
021. Vectorizing Logistic Regression's Gradient Output.mp4 -
15.55 MB
021. Vectorizing Logistic Regression's Gradient Output.srt -
10.74 KB
022. Broadcasting in Python.mp4 -
16.17 MB
022. Broadcasting in Python.srt -
14 KB
023. A note on python numpy vectors.mp4 -
12.36 MB
023. A note on python numpy vectors.srt -
9.04 KB
024. Quick tour of Jupyter iPython Notebooks.mp4 -
9.23 MB
024. Quick tour of Jupyter iPython Notebooks.srt -
5.78 KB
025. Explanation of logistic regression cost function (optional).mp4 -
10.47 MB
025. Explanation of logistic regression cost function (optional).srt -
8.5 KB
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