[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 -
10.21 MB

          001. Welcome.srt -
8.83 KB

    002.Introduction to Deep Learning
          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 -
191.76 MB

          007. Geoffrey Hinton interview.srt -
57.5 KB

    004.Logistic Regression as a Neural Network
          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 -
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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