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[FreeCoursesOnline.Me] [Packtpub.Com] Python Deep Learning for Beginners - [FCO]

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视频 2019-1-16 16:04 2024-4-22 23:24 88 306.06 MB 26
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文件列表
  1. 1.Understanding Deep Learning/01.The Course Overview.mp46.14MB
  2. 1.Understanding Deep Learning/02.A Brief History of Deep Learning.mp45.11MB
  3. 1.Understanding Deep Learning/03.Deep Learning Today.mp411.55MB
  4. 1.Understanding Deep Learning/04.Tools, Requirements, and Setup.mp419.99MB
  5. 2.Building the Basic Blocks of Machine Learning/05.Exploring Supervised Learning.mp43.8MB
  6. 2.Building the Basic Blocks of Machine Learning/06.Representational Learning and Feature Engineering.mp48.42MB
  7. 2.Building the Basic Blocks of Machine Learning/07.Linear Regression.mp418.88MB
  8. 2.Building the Basic Blocks of Machine Learning/08.The Perceptron.mp414.04MB
  9. 3.Diving into Deep Neural Networks/09.Feedforward Networks.mp48.5MB
  10. 3.Diving into Deep Neural Networks/10.Backpropagation.mp410.39MB
  11. 3.Diving into Deep Neural Networks/11.Neural Networks from Scratch.mp48.99MB
  12. 3.Diving into Deep Neural Networks/12.Overfitting and Regularization.mp47.55MB
  13. 4.Discovering Convolutional Neural Networks (CNNs)/13.Understanding CNNs.mp413.46MB
  14. 4.Discovering Convolutional Neural Networks (CNNs)/14.Implementing a CNN.mp415.62MB
  15. 4.Discovering Convolutional Neural Networks (CNNs)/15.Deep CNNs.mp414.16MB
  16. 5.Using CNNs to Solve Increasingly Complex Tasks/16.Very Deep CNNs.mp410.16MB
  17. 5.Using CNNs to Solve Increasingly Complex Tasks/17.Batch Normalization.mp47.47MB
  18. 5.Using CNNs to Solve Increasingly Complex Tasks/18.Fine-Tuning.mp411.98MB
  19. 6.Learning about Detection and Segmentation/19.Semantic Segmentation.mp49.27MB
  20. 6.Learning about Detection and Segmentation/20.Fully Convolutional Networks.mp412.6MB
  21. 7.Exploring Recurrent Neural Networks/21.Recurrent Neural Networks.mp417.05MB
  22. 7.Exploring Recurrent Neural Networks/22.LSTM and Advancements.mp412.42MB
  23. 8.Object Detection Using CNNs/23.Building a CNN to Detect General Images.mp419.04MB
  24. 8.Object Detection Using CNNs/24.Training and Deploying on a Cluster.mp414.46MB
  25. 9.Moving Forward with Deep Learning and AI/25.Comparison of DL Frameworks.mp415.23MB
  26. 9.Moving Forward with Deep Learning and AI/26.Exciting Areas for Upcoming Research.mp49.77MB
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