首页收藏

[DesireCourse.Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning

DesireCourseUdemyTensorflowKerasNeuralNetworksDeepLearning

种子大小：5.65 GB

收录时间：2024-03-25

链接操作： 点赞1dmca/举报

磁力链接：

打开链接  种子转换  复制链接 加入收藏   在线云播 

文件列表：214File

  1. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip532.36 MB
  2. 10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4183.49 MB
  3. 10. Convolution Neural Network (CNN) For Image Analysis/12.1 planesnet.json.json181.82 MB
  4. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4167.82 MB
  5. 7. Unsupervised Learning With Tensorflow and Keras/3.1 creditcard.csv.csv143.85 MB
  6. 7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv143.85 MB
  7. 5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv143.84 MB
  8. 9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv143.84 MB
  9. 9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4122.9 MB
  10. 5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4112.72 MB
  11. 2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4111.82 MB
  12. 10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4108.91 MB
  13. 5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4107.26 MB
  14. 6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4107.02 MB
  15. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4101 MB
  16. 9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp499.53 MB
  17. 5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp498.57 MB
  18. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp494.25 MB
  19. 6. Some Basic Concepts/1. What is Machine Learning.mp491.35 MB
  20. 10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp491.28 MB
  21. 5. Some Preliminary Tensorflow and Keras Applications/11. Linear Classification with Binary Classification With Mixed Predictors.mp488.84 MB
  22. 2. Introduction to Python Data Science Packages/6. Introduction to Pandas.mp484.65 MB
  23. 9. Deep Learning For Tensorflow & Keras/3. Deep Neural Network (DNN) Classifier With Mixed Predictors.mp483.75 MB
  24. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/8. Install Keras on Windows 10.mp482.92 MB
  25. 10. Convolution Neural Network (CNN) For Image Analysis/2. Implement a CNN for Multi-Class Supervised Classification.mp479.45 MB
  26. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/9. Install Keras on Mac.mp477.09 MB
  27. 5. Some Preliminary Tensorflow and Keras Applications/2. OLS From First Principles.mp474.98 MB
  28. 10. Convolution Neural Network (CNN) For Image Analysis/8. More on TFLearn.mp474.39 MB
  29. 12. Recurrent Neural Networks (RNN)/3. LSTM for Predicting Stock Prices.mp472.32 MB
  30. 10. Convolution Neural Network (CNN) For Image Analysis/7. CNN on Image Data-Part 2.mp471.1 MB
  31. 7. Unsupervised Learning With Tensorflow and Keras/3. Autoencoders in Tensorflow (Binary Class Problem).mp470.56 MB
  32. 5. Some Preliminary Tensorflow and Keras Applications/12. Softmax Classification With Tensorflow.mp469.98 MB
  33. 7. Unsupervised Learning With Tensorflow and Keras/7. Deep Autoencoder With Keras.mp468.09 MB
  34. 11. Autoencoders With Convolution Neural Networks (CNN)/1. Autoencoders for With CNN- Tensorflow.mp466.25 MB
  35. 2. Introduction to Python Data Science Packages/3. Create Numpy Arrays.mp463.3 MB
  36. 5. Some Preliminary Tensorflow and Keras Applications/10. Accuracy Assessment For Binary Classification.mp462.96 MB
  37. 9. Deep Learning For Tensorflow & Keras/2. Deep Neural Network (DNN) Classifier With Tensorflow.mp462.68 MB
  38. 8. Neural Network for Tensorflow & Keras/1. Multi Layer Perceptron (MLP) with Tensorflow.mp461.32 MB
  39. 5. Some Preliminary Tensorflow and Keras Applications/6. Multiple Regression With Tensorflow Estimators.mp458.76 MB
  40. 12. Recurrent Neural Networks (RNN)/1. Theory Behind RNNs.mp457.21 MB
  41. 7. Unsupervised Learning With Tensorflow and Keras/4. Autoencoders in Tensorflow (Multiple Classes).mp456.49 MB
  42. 2. Introduction to Python Data Science Packages/7. Read in Data from CSV.mp453.72 MB
  43. 7. Unsupervised Learning With Tensorflow and Keras/5. Autoencoders in Keras (Simple).mp453.18 MB
  44. 12. Recurrent Neural Networks (RNN)/2. LSTM For Time Series Data.mp452.35 MB
  45. 9. Deep Learning For Tensorflow & Keras/4. Deep Neural Network (DNN) Regression With Tensorflow.mp451.18 MB
  46. 8. Neural Network for Tensorflow & Keras/4. Keras MLP for Multiclass Classification.mp450.62 MB
  47. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp450.18 MB
  48. 10. Convolution Neural Network (CNN) For Image Analysis/4. More on CNN.mp448.08 MB
  49. 2. Introduction to Python Data Science Packages/5. Numpy for Statistical Operation.mp447.83 MB
  50. 5. Some Preliminary Tensorflow and Keras Applications/4. Multiple Regression With Tensorflow-Part 1.mp446.44 MB
Sobt | 巴士资源 | mail:888#clb.biz