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[FreeCourseSite.com] Udemy - TensorFlow Hub Deep Learning, Computer Vision and NLP

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2023-5-14 00:12 2024-6-18 00:46 191 2.56 GB 44
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文件列表
  1. 1. Introduction/1. Course content.mp479.34MB
  2. 2. Computer vision/1. Plan of attack.mp418.91MB
  3. 2. Computer vision/10. Style transfer 1.mp446.33MB
  4. 2. Computer vision/11. Style transfer 2.mp462.46MB
  5. 2. Computer vision/12. Style transfer 3.mp431.2MB
  6. 2. Computer vision/13. Image extension using GAN 1.mp456.31MB
  7. 2. Computer vision/14. Image extension using GAN 2.mp494.4MB
  8. 2. Computer vision/15. Action recognition 1.mp481.49MB
  9. 2. Computer vision/16. Action recognition 2.mp438.82MB
  10. 2. Computer vision/17. Action recognition 3.mp491.04MB
  11. 2. Computer vision/18. Action recognition 4.mp475.45MB
  12. 2. Computer vision/2. Image classification 1.mp4102.92MB
  13. 2. Computer vision/3. Image classification 2.mp468.32MB
  14. 2. Computer vision/4. Image classification 3.mp465.23MB
  15. 2. Computer vision/5. Image classification 4.mp4108.96MB
  16. 2. Computer vision/6. Image classification 5.mp485.78MB
  17. 2. Computer vision/7. Object detection 1.mp4104.83MB
  18. 2. Computer vision/8. Object detection 2.mp443.31MB
  19. 2. Computer vision/9. Object detection 3.mp486.27MB
  20. 3. Natural language processing/1. Plan of attack.mp47.26MB
  21. 3. Natural language processing/10. Audio classification 1.mp465.08MB
  22. 3. Natural language processing/11. Audio classification 2.mp430.48MB
  23. 3. Natural language processing/2. Text classification 1.mp449.31MB
  24. 3. Natural language processing/3. Text classification 2.mp483.6MB
  25. 3. Natural language processing/4. Text classification 3.mp426.79MB
  26. 3. Natural language processing/5. Q&A and information retrieval 1.mp427.73MB
  27. 3. Natural language processing/6. Q&A and information retrieval 2.mp4154.97MB
  28. 3. Natural language processing/7. Q&A and information retrieval 3.mp480.43MB
  29. 3. Natural language processing/8. Q&A and information retrieval 4.mp492.06MB
  30. 3. Natural language processing/9. Q&A and information retrieval 5.mp488.38MB
  31. 4. Extra content 1 Artificial neural networks/1. Biological fundamentals.mp457.54MB
  32. 4. Extra content 1 Artificial neural networks/2. Single layer perceptron.mp454.31MB
  33. 4. Extra content 1 Artificial neural networks/3. Multilayer perceptron – sum and activation functions.mp445.77MB
  34. 4. Extra content 1 Artificial neural networks/4. Multilayer perceptron – error calculation.mp416.9MB
  35. 4. Extra content 1 Artificial neural networks/5. Gradient descent.mp443.08MB
  36. 4. Extra content 1 Artificial neural networks/6. Delta parameter.mp427.25MB
  37. 4. Extra content 1 Artificial neural networks/7. Updating weights with backpropagation.mp450.82MB
  38. 4. Extra content 1 Artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp463.46MB
  39. 5. Extra content 2 Convolutional neural networks/1. Introduction to convolutional neural networks.mp451.82MB
  40. 5. Extra content 2 Convolutional neural networks/2. Convolutional operation.mp437.09MB
  41. 5. Extra content 2 Convolutional neural networks/3. Pooling.mp423.01MB
  42. 5. Extra content 2 Convolutional neural networks/4. Flattening.mp457.96MB
  43. 5. Extra content 2 Convolutional neural networks/5. Dense neural network.mp440.22MB
  44. 6. Final remarks/1. Final remarks.mp46.67MB
友情提示
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