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[Tutorialsplanet.NET] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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视频 2021-9-24 18:05 2024-12-15 19:15 339 1.78 GB 36
磁力链接
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迅雷链接
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Tutorialsplanet NET Udemy - A Complete Guide on TensorFlow 2 0 using Keras API

文件列表
  1. 10. Dataset Preprocessing with TensorFlow Transform (TFT)/1. Project Setup.mp410.06MB
  2. 11. Fashion API with Flask and TensorFlow 2.0/1. Project Setup.mp436.74MB
  3. 11. Fashion API with Flask and TensorFlow 2.0/3. Loading a pre-trained model.mp420.48MB
  4. 11. Fashion API with Flask and TensorFlow 2.0/5. Creating classify function.mp453.14MB
  5. 12. Image Classification API with TensorFlow Serving/3. Project setup.mp425.52MB
  6. 13. TensorFlow Lite Prepare a model for a mobile device/2. Project setup.mp48.05MB
  7. 13. TensorFlow Lite Prepare a model for a mobile device/4. Building a model.mp414.85MB
  8. 13. TensorFlow Lite Prepare a model for a mobile device/6. Saving the model.mp49.4MB
  9. 14. Distributed Training with TensorFlow 2.0/2. Project Setup.mp49.08MB
  10. 14. Distributed Training with TensorFlow 2.0/3. Dataset preprocessing.mp425.58MB
  11. 14. Distributed Training with TensorFlow 2.0/6. Defining a distributed model.mp412.49MB
  12. 15. Annex 1 - Artificial Neural Networks Theory/1. Plan of Attack.mp411.84MB
  13. 15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp498.68MB
  14. 15. Annex 1 - Artificial Neural Networks Theory/3. The Activation Function.mp445.34MB
  15. 15. Annex 1 - Artificial Neural Networks Theory/6. Gradient Descent.mp460.56MB
  16. 15. Annex 1 - Artificial Neural Networks Theory/8. Backpropagation.mp443.12MB
  17. 16. Annex 2 - Convolutional Neural Networks Theory/1. Plan of Attack.mp415.79MB
  18. 16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp497.84MB
  19. 16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4140.21MB
  20. 16. Annex 2 - Convolutional Neural Networks Theory/6. Step 3 - Flattening.mp47.92MB
  21. 16. Annex 2 - Convolutional Neural Networks Theory/8. Summary.mp430.32MB
  22. 17. Annex 3 - Recurrent Neural Networks Theory/1. Plan of Attack.mp410.48MB
  23. 17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4111MB
  24. 17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4136.43MB
  25. 17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4187.42MB
  26. 17. Annex 3 - Recurrent Neural Networks Theory/6. LSTM Variations.mp420.14MB
  27. 2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4114.8MB
  28. 2. TensorFlow 2.0 Basics/2. Constants, Variables, Tensors.mp471.33MB
  29. 2. TensorFlow 2.0 Basics/3. Operations with Tensors.mp449.25MB
  30. 2. TensorFlow 2.0 Basics/4. Strings.mp440.23MB
  31. 3. Artificial Neural Networks/1. Project Setup.mp459.25MB
  32. 3. Artificial Neural Networks/2. Data Preprocessing.mp461.76MB
  33. 3. Artificial Neural Networks/3. Building the Artificial Neural Network.mp460.43MB
  34. 3. Artificial Neural Networks/4. Training the Artificial Neural Network.mp448.51MB
  35. 3. Artificial Neural Networks/5. Evaluating the Artificial Neural Network.mp431.44MB
  36. 4. Convolutional Neural Networks/1. Project Setup & Data Preprocessing.mp447.36MB
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