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001. Welcome.mp4
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MP4
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10.2 MB
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001. Welcome.srt
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SRT
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8.8 KB
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002. What is a neural network.mp4
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MP4
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10 MB
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002. What is a neural network.srt
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SRT
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9.9 KB
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003. Supervised Learning with Neural Networks.mp4
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MP4
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12.9 MB
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003. Supervised Learning with Neural Networks.srt
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SRT
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11.9 KB
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004. Why is Deep Learning taking off.mp4
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MP4
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18.6 MB
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004. Why is Deep Learning taking off.srt
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SRT
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17.9 KB
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005. About this Course.mp4
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MP4
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4.7 MB
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005. About this Course.srt
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SRT
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4.3 KB
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006. Course Resources.mp4
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MP4
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2.5 MB
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006. Course Resources.srt
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SRT
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3.6 KB
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007. Geoffrey Hinton interview.mp4
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MP4
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191.8 MB
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007. Geoffrey Hinton interview.srt
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SRT
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57.5 KB
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008. Binary Classification.mp4
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MP4
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15.2 MB
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008. Binary Classification.srt
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SRT
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10.6 KB
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009. Logistic Regression.mp4
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MP4
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8.5 MB
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009. Logistic Regression.srt
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SRT
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7.6 KB
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010. Logistic Regression Cost Function.mp4
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MP4
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13.2 MB
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010. Logistic Regression Cost Function.srt
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SRT
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11 KB
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011. Gradient Descent.mp4
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MP4
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17 MB
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011. Gradient Descent.srt
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SRT
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15.4 KB
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012. Derivatives.mp4
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MP4
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13.4 MB
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012. Derivatives.srt
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SRT
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12 KB
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013. More Derivative Examples.mp4
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MP4
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16.8 MB
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013. More Derivative Examples.srt
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SRT
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12.9 KB
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014. Computation graph.mp4
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MP4
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5.7 MB
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014. Computation graph.srt
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SRT
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4.3 KB
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015. Derivatives with a Computation Graph.mp4
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MP4
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21.7 MB
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015. Derivatives with a Computation Graph.srt
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SRT
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16.3 KB
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016. Logistic Regression Gradient Descent.mp4
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MP4
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11.2 MB
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016. Logistic Regression Gradient Descent.srt
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SRT
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9 KB
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017. Gradient Descent on m Examples.mp4
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MP4
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12.2 MB
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017. Gradient Descent on m Examples.srt
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SRT
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12.3 KB
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018. Vectorization.mp4
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MP4
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12.6 MB
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018. Vectorization.srt
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SRT
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9.6 KB
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019. More Vectorization Examples.mp4
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MP4
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10.3 MB
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019. More Vectorization Examples.srt
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SRT
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7.4 KB
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020. Vectorizing Logistic Regression.mp4
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MP4
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11.5 MB
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020. Vectorizing Logistic Regression.srt
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SRT
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9.6 KB
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021. Vectorizing Logistic Regression's Gradient Output.mp4
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MP4
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15.5 MB
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021. Vectorizing Logistic Regression's Gradient Output.srt
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SRT
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10.7 KB
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022. Broadcasting in Python.mp4
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MP4
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16.2 MB
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022. Broadcasting in Python.srt
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SRT
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14 KB
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023. A note on python numpy vectors.mp4
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MP4
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12.4 MB
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023. A note on python numpy vectors.srt
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SRT
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9 KB
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024. Quick tour of Jupyter iPython Notebooks.mp4
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MP4
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9.2 MB
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024. Quick tour of Jupyter iPython Notebooks.srt
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SRT
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5.8 KB
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025. Explanation of logistic regression cost function (optional).mp4
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MP4
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10.5 MB
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025. Explanation of logistic regression cost function (optional).srt
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SRT
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8.5 KB
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026. Pieter Abbeel interview.mp4
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MP4
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80 MB
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026. Pieter Abbeel interview.srt
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SRT
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26.9 KB
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027. Neural Networks Overview.mp4
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MP4
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7.2 MB
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027. Neural Networks Overview.srt
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SRT
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6.6 KB
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028. Neural Network Representation.mp4
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MP4
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8.3 MB
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028. Neural Network Representation.srt
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SRT
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8.1 KB
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029. Computing a Neural Network's Output.mp4
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MP4
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16.3 MB
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029. Computing a Neural Network's Output.srt
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SRT
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16.5 KB
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030. Vectorizing across multiple examples.mp4
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MP4
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13.9 MB
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030. Vectorizing across multiple examples.srt
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SRT
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10.1 KB
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031. Explanation for Vectorized Implementation.mp4
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MP4
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12 MB
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031. Explanation for Vectorized Implementation.srt
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SRT
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8.7 KB
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032. Activation functions.mp4
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MP4
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19.9 MB
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032. Activation functions.srt
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SRT
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17 KB
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033. Why do you need non-linear activation functions.mp4
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MP4
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9.3 MB
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033. Why do you need non-linear activation functions.srt
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SRT
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7.7 KB
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034. Derivatives of activation functions.mp4
|
MP4
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11.4 MB
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034. Derivatives of activation functions.srt
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SRT
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11.3 KB
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035. Gradient descent for Neural Networks.mp4
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MP4
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16 MB
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035. Gradient descent for Neural Networks.srt
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SRT
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13.4 KB
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036. Backpropagation intuition (optional).mp4
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MP4
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26 MB
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036. Backpropagation intuition (optional).srt
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SRT
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17.7 KB
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037. Random Initialization.mp4
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MP4
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12 MB
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037. Random Initialization.srt
|
SRT
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10.4 KB
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038. Ian Goodfellow interview.mp4
|
MP4
|
54.5 MB
|
|
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038. Ian Goodfellow interview.srt
|
SRT
|
23.1 KB
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039. Deep L-layer neural network.mp4
|
MP4
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10.3 MB
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039. Deep L-layer neural network.srt
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SRT
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7.4 KB
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040. Forward Propagation in a Deep Network.mp4
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MP4
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13 MB
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040. Forward Propagation in a Deep Network.srt
|
SRT
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9.9 KB
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041. Getting your matrix dimensions right.mp4
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MP4
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17.4 MB
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041. Getting your matrix dimensions right.srt
|
SRT
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11.4 KB
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042. Why deep representations.mp4
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MP4
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17.6 MB
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042. Why deep representations.srt
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SRT
|
14.5 KB
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043. Building blocks of deep neural networks.mp4
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MP4
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12.8 MB
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043. Building blocks of deep neural networks.srt
|
SRT
|
10.9 KB
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044. Forward and Backward Propagation.mp4
|
MP4
|
19.8 MB
|
|
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044. Forward and Backward Propagation.srt
|
SRT
|
13.4 KB
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045. Parameters vs Hyperparameters.mp4
|
MP4
|
10.2 MB
|
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045. Parameters vs Hyperparameters.srt
|
SRT
|
13 KB
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046. What does this have to do with the brain.mp4
|
MP4
|
6 MB
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|
|
046. What does this have to do with the brain.srt
|
SRT
|
5.6 KB
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[CourseClub.NET].url
|
URL
|
102.4 B
|
|
|
[DesireCourse.Com].url
|
URL
|
0 B
|
|
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[FCS Forum].url
|
URL
|
102.4 B
|
|
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[FreeCourseSite.com].url
|
URL
|
102.4 B
|
![[Coursera] Neural Networks and Deep Learning](/static/img/no-torrent-image.png "[Coursera] Neural Networks and Deep Learning")
