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A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras

  • 收录时间:2020-06-08 03:16:26
  • 文件大小:2GB
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  • 最近下载:2021-01-23 00:34:57
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文件列表

  1. 4. Image Processing & Model Training/7. Training a Model.mp4 109MB
  2. 5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 107MB
  3. 5. Convolution & Pooling/6. Neural Network Attention.mp4 107MB
  4. 6. Text Analytics/2. Natural Language Processing.mp4 93MB
  5. 3. Linear Regression/8. Learning Rate & Gradients.mp4 87MB
  6. 6. Text Analytics/5. Reinforcement Learning.mp4 82MB
  7. 6. Text Analytics/4. Long Short Term Memory.mp4 81MB
  8. 4. Image Processing & Model Training/8. Comparing Different Models.mp4 77MB
  9. 3. Linear Regression/3. Tensorflow Architecture.mp4 76MB
  10. 6. Text Analytics/1. Detecting Good & Bad Reviews.mp4 75MB
  11. 5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 75MB
  12. 5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 68MB
  13. 4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 68MB
  14. 6. Text Analytics/3. Sentiment Analysis.mp4 66MB
  15. 3. Linear Regression/9. Learning Rate vs Steps.mp4 65MB
  16. 4. Image Processing & Model Training/9. Principal Component Analysis.mp4 62MB
  17. 2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 58MB
  18. 4. Image Processing & Model Training/1. Image Processing with Keras.mp4 57MB
  19. 3. Linear Regression/5. Plotting Data with Noise.mp4 57MB
  20. 4. Image Processing & Model Training/5. Understanding the Model.mp4 55MB
  21. 3. Linear Regression/6. Predicting Data with TensorFlow.mp4 51MB
  22. 2. Machine Learning, Neural Networks & Deep Learning/9. AI Modeling Demo.mp4 50MB
  23. 1. Introduction/2. Jupyter Notebook & TensorFlow.mp4 50MB
  24. 2. Machine Learning, Neural Networks & Deep Learning/6. Neurons & Model Training.mp4 47MB
  25. 2. Machine Learning, Neural Networks & Deep Learning/4. Neurons & Neuron Layers.mp4 47MB
  26. 5. Convolution & Pooling/1. Convolutions & Pooling Definitions.mp4 45MB
  27. 1. Introduction/1. Introduction.mp4 44MB
  28. 4. Image Processing & Model Training/2. Creating a 2D Image Model.mp4 41MB
  29. 2. Machine Learning, Neural Networks & Deep Learning/5. Deep Learning.mp4 40MB
  30. 2. Machine Learning, Neural Networks & Deep Learning/10. Combining Neural Networks & AI.mp4 36MB
  31. 2. Machine Learning, Neural Networks & Deep Learning/8. Deep Learning & AI.mp4 35MB
  32. 3. Linear Regression/1. Jupyter Notebook Setup.mp4 33MB
  33. 3. Linear Regression/4. Plotting Uniform Data.mp4 33MB
  34. 5. Convolution & Pooling/7. Bias in Training Data Sets.mp4 32MB
  35. 3. Linear Regression/7. Visualizing Learning Rate & Loss.mp4 28MB
  36. 3. Linear Regression/2. Hardware & Compiler.mp4 25MB
  37. 2. Machine Learning, Neural Networks & Deep Learning/7. Training Models.mp4 25MB
  38. 2. Machine Learning, Neural Networks & Deep Learning/2. Deep Learning, Machine Learning, & Neural Networks Resources.mp4 24MB
  39. 4. Image Processing & Model Training/3. Sigmoid vs. ReLU.mp4 23MB
  40. 2. Machine Learning, Neural Networks & Deep Learning/3. Statistics & Machine Learning.mp4 23MB
  41. 4. Image Processing & Model Training/4. Softmax.mp4 19MB
  42. 5. Convolution & Pooling/2. Adding Convolutions & Pooling.mp4 11MB
  43. 7. Wrapping Up/1. Wrapping Up.mp4 9MB