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

1. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Introduction to the Course.mp49.87MB
2. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp494.25MB
3. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp450.18MB
4. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4101MB
5. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4167.82MB
6. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/8. Install Keras on Windows 10.mp482.92MB
7. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/9. Install Keras on Mac.mp477.09MB
8. 10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4183.49MB
9. 10. Convolution Neural Network (CNN) For Image Analysis/10. CNN With Keras.mp437.8MB
10. 10. Convolution Neural Network (CNN) For Image Analysis/11. CNN on Image Data with Keras-Part 1.mp424.4MB
11. 10. Convolution Neural Network (CNN) For Image Analysis/12. CNN on Image Data with Keras-Part 2.mp440.73MB
12. 10. Convolution Neural Network (CNN) For Image Analysis/2. Implement a CNN for Multi-Class Supervised Classification.mp479.45MB
13. 10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp491.28MB
14. 10. Convolution Neural Network (CNN) For Image Analysis/4. More on CNN.mp448.08MB
15. 10. Convolution Neural Network (CNN) For Image Analysis/5. Pre-Requisite For Working With Imagery Data.mp420.06MB
16. 10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4108.91MB
17. 10. Convolution Neural Network (CNN) For Image Analysis/7. CNN on Image Data-Part 2.mp471.1MB
18. 10. Convolution Neural Network (CNN) For Image Analysis/8. More on TFLearn.mp474.39MB
19. 10. Convolution Neural Network (CNN) For Image Analysis/9. CNN Workflow for Keras.mp436.25MB
20. 11. Autoencoders With Convolution Neural Networks (CNN)/1. Autoencoders for With CNN- Tensorflow.mp466.25MB
21. 11. Autoencoders With Convolution Neural Networks (CNN)/2. Autoencoders for With CNN- Keras.mp441.12MB
22. 12. Recurrent Neural Networks (RNN)/1. Theory Behind RNNs.mp457.21MB
23. 12. Recurrent Neural Networks (RNN)/2. LSTM For Time Series Data.mp452.35MB
24. 12. Recurrent Neural Networks (RNN)/3. LSTM for Predicting Stock Prices.mp472.32MB
25. 13. Miscellaneous Section/1. Use Colabs for Jupyter Data Science.mp443.92MB
26. 2. Introduction to Python Data Science Packages/1. Python Packages for Data Science.mp436.42MB
27. 2. Introduction to Python Data Science Packages/2. Introduction to Numpy.mp431.19MB
28. 2. Introduction to Python Data Science Packages/3. Create Numpy Arrays.mp463.3MB
29. 2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4111.82MB
30. 2. Introduction to Python Data Science Packages/5. Numpy for Statistical Operation.mp447.83MB
31. 2. Introduction to Python Data Science Packages/6. Introduction to Pandas.mp484.65MB
32. 2. Introduction to Python Data Science Packages/7. Read in Data from CSV.mp453.72MB
33. 2. Introduction to Python Data Science Packages/8. Read in Data from Excel.mp442.34MB
34. 2. Introduction to Python Data Science Packages/9. Basic Data Cleaning.mp437.53MB
35. 3. Introduction to TensorFlow/1. A Brief Touchdown.mp421.1MB
36. 3. Introduction to TensorFlow/2. A Brief Touchdown Computational Graphs.mp411.25MB
37. 3. Introduction to TensorFlow/4. A Tensorflow Session.mp428.3MB
38. 3. Introduction to TensorFlow/5. Interactive Tensorflow Session.mp411.28MB
39. 3. Introduction to TensorFlow/6. Constants and Variables in Tensorflow.mp425.87MB
40. 3. Introduction to TensorFlow/7. Placeholders in Tensorflow.mp431.46MB
41. 4. Introduction to Keras/1. What is Keras.mp423.92MB
42. 5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4112.72MB
43. 5. Some Preliminary Tensorflow and Keras Applications/10. Accuracy Assessment For Binary Classification.mp462.96MB
44. 5. Some Preliminary Tensorflow and Keras Applications/11. Linear Classification with Binary Classification With Mixed Predictors.mp488.84MB
45. 5. Some Preliminary Tensorflow and Keras Applications/12. Softmax Classification With Tensorflow.mp469.98MB
46. 5. Some Preliminary Tensorflow and Keras Applications/2. OLS From First Principles.mp474.98MB
47. 5. Some Preliminary Tensorflow and Keras Applications/3. Visualize the Results of OLS.mp426.53MB
48. 5. Some Preliminary Tensorflow and Keras Applications/4. Multiple Regression With Tensorflow-Part 1.mp446.44MB
49. 5. Some Preliminary Tensorflow and Keras Applications/5. Estimate With Tensorflow Estimators.mp411.55MB
50. 5. Some Preliminary Tensorflow and Keras Applications/6. Multiple Regression With Tensorflow Estimators.mp458.76MB
51. 5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp498.57MB
52. 5. Some Preliminary Tensorflow and Keras Applications/8. GLM Generalized Linear Model.mp445.97MB
53. 5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4107.26MB
54. 6. Some Basic Concepts/1. What is Machine Learning.mp491.35MB
55. 6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4107.02MB
56. 7. Unsupervised Learning With Tensorflow and Keras/1. What is Unsupervised Learning.mp430.6MB
57. 7. Unsupervised Learning With Tensorflow and Keras/2. Autoencoders for Unsupervised Classification.mp421.16MB
58. 7. Unsupervised Learning With Tensorflow and Keras/3. Autoencoders in Tensorflow (Binary Class Problem).mp470.56MB
59. 7. Unsupervised Learning With Tensorflow and Keras/4. Autoencoders in Tensorflow (Multiple Classes).mp456.49MB
60. 7. Unsupervised Learning With Tensorflow and Keras/5. Autoencoders in Keras (Simple).mp453.18MB
61. 7. Unsupervised Learning With Tensorflow and Keras/6. Autoencoders in Keras (Sparsity Constraints).mp437.71MB
62. 7. Unsupervised Learning With Tensorflow and Keras/7. Deep Autoencoder With Keras.mp468.09MB
63. 8. Neural Network for Tensorflow & Keras/1. Multi Layer Perceptron (MLP) with Tensorflow.mp461.32MB
64. 8. Neural Network for Tensorflow & Keras/2. Multi Layer Perceptron (MLP) With Keras.mp432.19MB
65. 8. Neural Network for Tensorflow & Keras/3. Keras MLP For Binary Classification.mp436.73MB
66. 8. Neural Network for Tensorflow & Keras/4. Keras MLP for Multiclass Classification.mp450.62MB
67. 8. Neural Network for Tensorflow & Keras/5. Keras MLP for Regression.mp430.36MB
68. 9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp499.53MB
69. 9. Deep Learning For Tensorflow & Keras/2. Deep Neural Network (DNN) Classifier With Tensorflow.mp462.68MB
70. 9. Deep Learning For Tensorflow & Keras/3. Deep Neural Network (DNN) Classifier With Mixed Predictors.mp483.75MB
71. 9. Deep Learning For Tensorflow & Keras/4. Deep Neural Network (DNN) Regression With Tensorflow.mp451.18MB
72. 9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4122.9MB
73. 9. Deep Learning For Tensorflow & Keras/6. DNN Classifier With Keras.mp430MB
74. 9. Deep Learning For Tensorflow & Keras/7. DNN Classifier With Keras-Example 2.mp442.43MB