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种子名称： [Udemy] Python Programming Machine Learning, Deep Learning (05.2021)
文件类型： 视频
文件数目： 59个文件
文件大小： 2.8 GB
收录时间： 2022-8-3 17:53
已经下载： 3次
资源热度： 141
最近下载： 2024-12-16 14:08

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[Udemy] Python Programming Machine Learning, Deep Learning (05.2021).torrent

1. Intro to Deep Learning with Python/1. Introduction to Deep Learning with Python.mp414.51MB

10. Transfer Learning/1. What is Transfer Learning.mp485.33MB

11. Projects/1. Project - 1.mp4101.54MB

11. Projects/2. Project - 2.mp4169.31MB

11. Projects/3. Project - 3.mp482.32MB

11. Projects/4. Project - 4.mp472.27MB

2. Python Setup/1. Installing Anaconda Distribution and Python.mp437.6MB

2. Python Setup/2. Overview of Jupyter Notebook and Google Colab.mp425.35MB

3. Fundamentals of Python/1. Data Types in Python.mp441.08MB

3. Fundamentals of Python/10. Exercise Solution.mp447.7MB

3. Fundamentals of Python/2. Operators in Python.mp429.62MB

3. Fundamentals of Python/3. Conditionals.mp434.65MB

3. Fundamentals of Python/4. Loops.mp449.12MB

3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets.mp466.34MB

3. Fundamentals of Python/6. Data Type Operators and Methods.mp440.47MB

3. Fundamentals of Python/7. Modules in Python.mp421.06MB

3. Fundamentals of Python/8. Functions in Python.mp426.07MB

3. Fundamentals of Python/9. Exercise Analyse.mp45.71MB

4. Object Oriented Programming/1. Logic of OOP.mp416.39MB

4. Object Oriented Programming/2. Constructor.mp433.89MB

4. Object Oriented Programming/3. Methods.mp423.65MB

4. Object Oriented Programming/4. Inheritance.mp432.63MB

4. Object Oriented Programming/5. Overriding and Overloading.mp458.84MB

5. Numpy Library/1. What is Numpy.mp426.72MB

5. Numpy Library/2. Why Numpy.mp413.65MB

5. Numpy Library/3. Array and features.mp447.91MB

5. Numpy Library/4. Array’s Operators.mp417.58MB

5. Numpy Library/5. Numpy Functions.mp478.51MB

5. Numpy Library/6. Indexing and Slicing.mp440.39MB

5. Numpy Library/7. Numpy Exercises.mp474.19MB

5. Numpy Library/8. Using Numpy in Linear Algebra.mp4112.16MB

5. Numpy Library/9. NumExpr Guide.mp442.2MB

6. Machine Learning/1. AI, Machine Learning and Deep Learning.mp416.23MB

6. Machine Learning/10. Supervised Machine Learning Methods - 3.mp456.07MB

6. Machine Learning/11. Supervised Machine Learning Methods - 4.mp470.3MB

6. Machine Learning/12. Unsupervised Machine Learning Methods.mp487.95MB

6. Machine Learning/13. Gathering data.mp417.62MB

6. Machine Learning/14. Data pre-processing.mp425.99MB

6. Machine Learning/15. Choosing the right algorithm and model.mp4148.49MB

6. Machine Learning/16. Training and testing the model.mp484.03MB

6. Machine Learning/17. Evaluation.mp424.38MB

6. Machine Learning/2. History of Machine Learning.mp423.86MB

6. Machine Learning/3. Turing Machine and Turing Test.mp440.9MB

6. Machine Learning/4. What is Deep Learning.mp420.53MB

6. Machine Learning/5. Learning representations from data.mp434.91MB

6. Machine Learning/6. Workflow of Machine Learning.mp431.68MB

6. Machine Learning/7. Machine Learning Methods.mp445.55MB

6. Machine Learning/8. Supervised Machine Learning Methods - 1.mp430.95MB

6. Machine Learning/9. Supervised Machine Learning Methods - 2.mp455.38MB

7. Artificial Neural Network/1. What is Artificial Neural Network (ANN).mp423.02MB

7. Artificial Neural Network/2. Anatomy of Neural Network.mp442.3MB

7. Artificial Neural Network/3. Creating a Simple ANN.mp479.46MB

7. Artificial Neural Network/4. Tensor Operations.mp462.12MB

7. Artificial Neural Network/5. Tensor Operations 2.mp429.79MB

7. Artificial Neural Network/6. Keras API.mp423.31MB

7. Artificial Neural Network/7. Optimizers.mp442.32MB

7. Artificial Neural Network/8. What is TensorFlow.mp462.59MB

8. Convolutional Neural Network (CNN)/1. What is CNN.mp472.37MB

9. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.mp450.86MB