[CourseClub.Me]Coursera – Deep Learning Specialization


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Creat Time:   2024-05-27
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Last Active:   2024-11-24
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Tags:    CourseClub Me Coursera Deep Learning Specialization
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File List

  1. Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 06 - Geoffrey Hinton Interview.mp4 196.36 MB
  2. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 12 - Yann LeCun Interview.mp4 170.89 MB
  3. Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 15 - Yoshua Bengio Interview.mp4 116.93 MB
  4. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 24 - Ruslan Salakhutdinov Interview.mp4 106.02 MB
  5. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 13 - Andrej Karpathy Interview.mp4 86.03 MB
  6. Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 25 - Pieter Abbeel Interview.mp4 81.96 MB
  7. Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 26 - Yuanqing Lin Interview.mp4 65.78 MB
  8. Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 37 - Ian Goodfellow Interview.mp4 55.84 MB
  9. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 21 - Multi-task Learning.mp4 29.70 MB
  10. Coursera - Sequence Models/nlp-sequence-models - 28 - Bleu Score (Optional).mp4 28.89 MB
  11. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 18 - Bias and Variance with Mismatched Data Distributions.mp4 28.67 MB
  12. Coursera - Sequence Models/nlp-sequence-models - 09 - Gated Recurrent Unit (GRU).mp4 27.64 MB
  13. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 14 - Classic Networks.mp4 27.33 MB
  14. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 15 - Cleaning Up Incorrectly Labeled Data.mp4 27.28 MB
  15. Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 35 - Backpropagation Intuition (Optional).mp4 26.67 MB
  16. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 31 - Bounding Box Predictions.mp4 26.43 MB
  17. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 20 - MobileNet.mp4 26.03 MB
  18. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 44 - Triplet Loss.mp4 25.57 MB
  19. Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 37 - TensorFlow.mp4 25.57 MB
  20. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 07 - One Layer of a Convolutional Network.mp4 24.36 MB
  21. Coursera - Sequence Models/nlp-sequence-models - 34 - Self-Attention.mp4 24.13 MB
  22. Coursera - Sequence Models/nlp-sequence-models - 03 - Recurrent Neural Network Model.mp4 23.89 MB
  23. Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 32 - Why does Batch Norm work.mp4 23.44 MB
  24. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 20 - Transfer Learning.mp4 22.71 MB
  25. Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 14 - Derivatives with a Computation Graph.mp4 22.21 MB
  26. Coursera - Sequence Models/nlp-sequence-models - 36 - Transformer Network.mp4 21.67 MB
  27. Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 31 - Fitting Batch Norm into a Neural Network.mp4 21.22 MB
  28. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 02 - Orthogonalization.mp4 20.71 MB
  29. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 07 - When to Change Dev Test Sets and Metrics.mp4 20.47 MB
  30. Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 31 - Activation Functions.mp4 20.40 MB
  31. Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 43 - Forward and Backward Propagation.mp4 20.27 MB
  32. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 10 - CNN Example.mp4 20.26 MB
  33. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 27 - Object Localization.mp4 19.84 MB
  34. Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 16 - Mini-batch Gradient Descent.mp4 19.74 MB
  35. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 50 - Style Cost Function.mp4 19.68 MB
  36. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 22 - What is End-to-end Deep Learning.mp4 19.50 MB
  37. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 14 - Carrying Out Error Analysis.mp4 19.45 MB
  38. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 17 - Training and Testing on Different Distributions.mp4 19.31 MB
  39. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 10 - Understanding Human-level Performance.mp4 19.31 MB
  40. Coursera - Sequence Models/nlp-sequence-models - 10 - Long Short Term Memory (LSTM).mp4 19.26 MB
  41. Coursera – Neural Networks and Deep Learning/neural-networks-deep-learning - 04 - Why is Deep Learning taking off.mp4 19.09 MB
  42. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 34 - Anchor Boxes.mp4 19.06 MB
  43. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 26 - State of Computer Vision.mp4 18.97 MB
  44. Coursera - Sequence Models/nlp-sequence-models - 18 - Word2Vec.mp4 18.86 MB
  45. Coursera - Sequence Models/nlp-sequence-models - 30 - Attention Model.mp4 18.74 MB
  46. Coursera – Structuring Machine Learning Projects/machine-learning-projects - 19 - Addressing Data Mismatch.mp4 18.38 MB
  47. Coursera - Sequence Models/nlp-sequence-models - 19 - Negative Sampling.mp4 18.34 MB
  48. Coursera - Sequence Models/nlp-sequence-models - 25 - Beam Search.mp4 18.33 MB
  49. Coursera – Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/deep-neural-network - 17 - Understanding Mini-batch Gradient Descent.mp4 18.14 MB
  50. Coursera – Convolutional Neural Networks/convolutional-neural-networks - 30 - Convolutional Implementation of Sliding Windows.mp4 18.10 MB

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