Name [CourseClub.NET] Coursera - Neural Networks and Deep Learning

File Type video

Size 878.12MB

UpdateDate 2025-3-21

hash *****63E818A10F7C0054D8DBE135E73F64AE06

Hot 1

Files 001.Welcome to the Deep Learning Specialization/001. Welcome.mp4 | 10.21MB 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 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 | 12.90MB 002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.srt | 11.90KB 002.Introduction to Deep Learning/004. Why is Deep Learning taking off.mp4 | 18.64MB 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 002.Introduction to Deep Learning/005. About this Course.srt | 4.35KB 002.Introduction to Deep Learning/006. Course Resources.mp4 | 2.50MB 002.Introduction to Deep Learning/006. Course Resources.srt | 3.63KB 003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.mp4 | 191.76MB 003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.srt | 57.50KB 004.Logistic Regression as a Neural Network/008. Binary Classification.mp4 | 15.24MB 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 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 004.Logistic Regression as a Neural Network/010. Logistic Regression Cost Function.srt | 11.00KB 004.Logistic Regression as a Neural Network/011. Gradient Descent.mp4 | 17.05MB 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 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 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 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 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 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 004.Logistic Regression as a Neural Network/017. Gradient Descent on m Examples.srt | 12.29KB 005.Python and Vectorization/018. Vectorization.mp4 | 12.60MB 005.Python and Vectorization/018. Vectorization.srt | 9.62KB 005.Python and Vectorization/019. More Vectorization Examples.mp4 | 10.34MB 005.Python and Vectorization/019. More Vectorization Examples.srt | 7.39KB 005.Python and Vectorization/020. Vectorizing Logistic Regression.mp4 | 11.46MB 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 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 005.Python and Vectorization/022. Broadcasting in Python.srt | 14.00KB 005.Python and Vectorization/023. A note on python numpy vectors.mp4 | 12.36MB 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 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 005.Python and Vectorization/025. Explanation of logistic regression cost function (optional).srt | 8.50KB 006.Heroes of Deep Learning (Optional)/026. Pieter Abbeel interview.mp4 | 80.04MB 006.Heroes of Deep Learning (Optional)/026. Pieter Abbeel interview.srt | 26.86KB 007.Shallow Neural Network/027. Neural Networks Overview.mp4 | 7.23MB 007.Shallow Neural Network/027. Neural Networks Overview.srt | 6.61KB 007.Shallow Neural Network/028. Neural Network Representation.mp4 | 8.26MB 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 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 007.Shallow Neural Network/030. Vectorizing across multiple examples.srt | 10.06KB 007.Shallow Neural Network/031. Explanation for Vectorized Implementation.mp4 | 11.97MB 007.Shallow Neural Network/031. Explanation for Vectorized Implementation.srt | 8.67KB 007.Shallow Neural Network/032. Activation functions.mp4 | 19.93MB 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 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 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 007.Shallow Neural Network/035. Gradient descent for Neural Networks.srt | 13.44KB 007.Shallow Neural Network/036. Backpropagation intuition (optional).mp4 | 26.04MB 007.Shallow Neural Network/036. Backpropagation intuition (optional).srt | 17.72KB 007.Shallow Neural Network/037. Random Initialization.mp4 | 11.96MB 007.Shallow Neural Network/037. Random Initialization.srt | 10.39KB 008.Heroes of Deep Learning (Optional)/038. Ian Goodfellow interview.mp4 | 54.53MB 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 009.Deep Neural Network/039. Deep L-layer neural network.srt | 7.40KB 009.Deep Neural Network/040. Forward Propagation in a Deep Network.mp4 | 13.02MB 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 009.Deep Neural Network/041. Getting your matrix dimensions right.srt | 11.43KB 009.Deep Neural Network/042. Why deep representations.mp4 | 17.59MB 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 009.Deep Neural Network/043. Building blocks of deep neural networks.srt | 10.91KB 009.Deep Neural Network/044. Forward and Backward Propagation.mp4 | 19.80MB 009.Deep Neural Network/044. Forward and Backward Propagation.srt | 13.43KB 009.Deep Neural Network/045. Parameters vs Hyperparameters.mp4 | 10.21MB 009.Deep Neural Network/045. Parameters vs Hyperparameters.srt | 13.00KB 009.Deep Neural Network/046. What does this have to do with the brain.mp4 | 6.00MB 009.Deep Neural Network/046. What does this have to do with the brain.srt | 5.64KB [CourseClub.NET].url | 123B [DesireCourse.Com].url | 51B [FCS Forum].url | 133B [FreeCourseSite.com].url | 127B