[UdemyCourseDownloader] Deep Learning with TensorFlow 2.0 [2019]

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文件数目：299个文件
文件大小：1.98 GB
收录时间：2019-10-29
访问次数：7
相关内容：Deep Learning with TensorFlow 2019

文件meta

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4
144.34 MB
01. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4
105.79 MB
13. Business case/4. Preprocessing the data.mp4
92 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4
78.16 MB
13. Business case/9. Setting an early stopping mechanism.mp4
53.36 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4
49.79 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4
49.38 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4
45.93 MB
12. The MNIST example/10. Learning.mp4
44.47 MB
03. Setting up the working environment/9. Installing TensorFlow 2.mp4
42.94 MB
03. Setting up the working environment/2. Why Python and why Jupyter.mp4
41.02 MB
02. Introduction to neural networks/24. N-parameter gradient descent.mp4
39.45 MB
05. TensorFlow - An introduction/1. TensorFlow outline.mp4
38.32 MB
02. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4
38.29 MB
05. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4
38.22 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4
38.09 MB
13. Business case/3. Balancing the dataset.mp4
35.19 MB
03. Setting up the working environment/4. Installing Anaconda.mp4
34.91 MB
13. Business case/8. Learning and interpreting the result.mp4
34.6 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4
33.84 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4
33.59 MB
05. TensorFlow - An introduction/6. Interpreting the result and extracting the weights and bias.mp4
32.82 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4
32.61 MB
12. The MNIST example/13. Testing the model.mp4
32.49 MB
12. The MNIST example/4. Preprocess the data - create a validation dataset and scale the data.mp4
31.94 MB
12. The MNIST example/8. Outline the model.mp4
31.17 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4
26.67 MB
05. TensorFlow - An introduction/2. TensorFlow 2 intro.mp4
25.07 MB
05. TensorFlow - An introduction/7. Cutomizing your model.mp4
24.66 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4
23.99 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4
22.51 MB
03. Setting up the working environment/6. The Jupyter dashboard - part 2.mp4
21.08 MB
04. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4
20.81 MB
12. The MNIST example/2. How to tackle the MNIST.mp4
20.4 MB
13. Business case/6. Load the preprocessed data.mp4
19.38 MB
05. TensorFlow - An introduction/4. Types of file formats in TensorFlow and data handling.mp4
18.5 MB
02. Introduction to neural networks/22. One parameter gradient descent.mp4
17.77 MB
12. The MNIST example/3. Importing the relevant packages and load the data.mp4
17.77 MB
01. Welcome! Course introduction/2. What does the course cover.mp4
16.36 MB
12. The MNIST example/1. The dataset.mp4
15.67 MB
12. The MNIST example/9. Select the loss and the optimizer.mp4
15.26 MB
15. Conclusion/1. See how much you have learned.mp4
13.96 MB
02. Introduction to neural networks/1. Introduction to neural networks.mp4
13.56 MB
06. Going deeper Introduction to deep neural networks/3. Understanding deep nets in depth.mp4
13.41 MB
02. Introduction to neural networks/5. Types of machine learning.mp4
12.2 MB
13. Business case/11. Testing the model.mp4
12.07 MB
02. Introduction to neural networks/20. Cross-entropy loss.mp4
11.36 MB
14. Appendix Linear Algebra Fundamentals/7. Errors when Adding Matrices.mp4
11.17 MB
06. Going deeper Introduction to deep neural networks/7. Backpropagation.mp4
11.06 MB
08. Overfitting/1. Underfitting and overfitting.mp4
11.06 MB