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- 【影视】 Linkedin Learning Machine Learning With Python-Decision Trees
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收录时间:2024-08-24
文档个数:40
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4. Working with Regression Trees/1. How to build a regression tree in Python.mp4 23.9 MB
2. Decision Trees/5. How to prune a decision tree.mp4 21.2 MB
4. Working with Regression Trees/3. How to prune a regression tree in Python.mp4 18.8 MB
3. Working with Classification Trees/1. How to build a classification tree in Python.mp4 18.6 MB
2. Decision Trees/3. How do classification trees measure impurity.mp4 16.1 MB
2. Decision Trees/2. How is a classification tree built.mp4 15.4 MB
2. Decision Trees/4. How is a regression tree built.mp4 15.1 MB
3. Working with Classification Trees/3. How to prune a classification tree in Python.mp4 14.8 MB
4. Working with Regression Trees/2. How to visualize a regression tree in Python.mp4 14.1 MB
3. Working with Classification Trees/2. How to visualize a classification tree in Python.mp4 13.2 MB
2. Decision Trees/1. What is a decision tree.mp4 13.0 MB
2. Decision Trees/6. Why and when to use a decision tree.mp4 10.4 MB
1. Introduction/4. Using the exercise files.mp4 5.5 MB
5. Conclusion/1. Next steps with decision trees.mp4 4.5 MB
1. Introduction/3. The tools you need.mp4 3.5 MB
1. Introduction/1. Making decisions with Python.mp4 3.4 MB
1. Introduction/2. What you should know.mp4 3.1 MB
Exercise Files/03/03e.ipynb 11.5 kB
Exercise Files/03/03b.ipynb 11.0 kB
4. Working with Regression Trees/1. How to build a regression tree in Python.srt 10.6 kB
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- 【影视】 Linkedin Learning Machine Learning With Python-Logistic Regression
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收录时间:2024-08-24
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4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.mp4 39.8 MB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.mp4 29.9 MB
1. Introduction/4. Using GitHub Codespaces with this course.mp4 22.8 MB
4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.mp4 22.0 MB
4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.mp4 18.7 MB
2. Regression/3. Common types of regression.mp4 14.9 MB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.mp4 14.8 MB
3. Logistic Regression/2. Making predictions with logistic regression.mp4 14.1 MB
3. Logistic Regression/1. What is logistic regression.mp4 11.6 MB
2. Regression/1. What is regression.mp4 9.8 MB
2. Regression/2. The anatomy of a regression model.mp4 9.8 MB
1. Introduction/3. Using the exercise files.mp4 5.2 MB
3. Logistic Regression/4. Why and when to use logistic regression.mp4 4.8 MB
5. Conclusion/1. Next steps.mp4 4.4 MB
1. Introduction/1. Classifying data with logistic regression.mp4 4.4 MB
1. Introduction/2. What you should know.mp4 2.9 MB
4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.srt 17.5 kB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.srt 11.8 kB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.srt 10.0 kB
1. Introduction/4. Using GitHub Codespaces with this course.srt 9.1 kB
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- 【压缩文件】 [LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses
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收录时间:2024-08-25
文档个数:408
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Building Computer Vision Applications with Python/Ex_Files_Computer_Vision_Deep_Dive_in_Python.zip 152.8 MB
Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.mp4 46.3 MB
Machine Learning Foundations Linear Algebra/2 - Vectors Basics/1. Introduction to vectors.mp4 31.4 MB
Building Computer Vision Applications with Python/4 - Filters/3. Median filters.mp4 26.6 MB
Machine Learning Foundations Linear Algebra/1 - Introduction to Linear Algebra/2. Applications of linear algebra in ML.mp4 23.9 MB
Building Computer Vision Applications with Python/3 - From Color to Black and White/4. Adaptive thresholding.mp4 22.0 MB
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.mp4 20.1 MB
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/3. Markov decision process.mp4 18.2 MB
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/3. Changing basis of vectors.mp4 18.0 MB
Machine Learning Foundations Linear Algebra/5 - Gaussian Elimination/1. Solving linear equations using Gaussian elimination.mp4 17.9 MB
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/1. Match patterns.mp4 16.3 MB
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/1. Convolutional neural networks (CNN).mp4 16.3 MB
Reinforcement Learning Foundations/4 - Temporal Difference Methods/2. SARSA.mp4 15.9 MB
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/2. A basic RL problem.mp4 15.8 MB
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/2. Natural language processing.mp4 15.2 MB
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/2. Transforming to the new basis.mp4 15.1 MB
Hands-On PyTorch Machine Learning/5 - Torchtext/2. Torchtext for translation.mp4 15.0 MB
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/1. Robotics.mp4 14.9 MB
Building Computer Vision Applications with Python/4 - Filters/5. Edge detection filters.mp4 14.9 MB
Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/3. Perceptrons.mp4 14.8 MB
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- 【影视】 [ FreeCourseWeb.com ] Udemy - From Machine Learning to Deep Learning 2021
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收录时间:2024-08-31
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~Get Your Files Here !/4. Chapter 3/1. Chapter 3. Search for Soulmate.mp4 310.8 MB
~Get Your Files Here !/5. Chapter 4/1. Chapter 4. Mission Marriage.mp4 275.9 MB
~Get Your Files Here !/3. Chapter 2/1. Chapter 2. Date All the Time.mp4 214.0 MB
~Get Your Files Here !/2. Chapter 1/1. Chapter 1. Party All the Time.mp4 150.8 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 25.9 MB
~Get Your Files Here !/6. Conclusion/1. Conclusion.mp4 5.2 MB
~Get Your Files Here !/4. Chapter 3/1. Chapter 3. Search for Soulmate-en_US.srt 60.1 kB
~Get Your Files Here !/5. Chapter 4/1. Chapter 4. Mission Marriage-en_US.srt 46.3 kB
~Get Your Files Here !/3. Chapter 2/1. Chapter 2. Date All the Time-en_US.srt 42.6 kB
~Get Your Files Here !/2. Chapter 1/1. Chapter 1. Party All the Time-en_US.srt 32.4 kB
~Get Your Files Here !/1. Introduction/1. Introduction-en_US.srt 2.0 kB
~Get Your Files Here !/6. Conclusion/1. Conclusion-en_US.srt 359 Bytes
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
Get Bonus Downloads Here.url 183 Bytes
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- 【压缩文件】 python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2
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收录时间:2024-09-04
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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_jp2.zip 261.7 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr.html 31.1 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_chocr.html.gz 17.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.xml 16.6 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.pdf 9.9 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.epub 5.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.txt 1.3 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_searchtext.txt.gz 397.5 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_scandata.xml 269.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_page_numbers.json 131.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.sqlite 20.5 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_pageindex.json.gz 9.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.xml 2.0 kB
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- 【影视】 LinkedIn Learning - Learning ZBrushCore [CoursesGhar]
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收录时间:2024-09-05
文档个数:107
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最近下载:2025-03-09
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[5] 4. Refining the Sculpture/[7] Subtool transitions.mp4 24.7 MB
[7] 6. Polypaint and Rendering/[9] Rendering final image.mp4 19.8 MB
[6] 5. Primitives/[6] Detailing the horn and custom brushes.mp4 16.5 MB
[6] 5. Primitives/[7] Appending the horn and mirroring it.mp4 15.4 MB
[3] 2. Getting Started/[2] Introduction to ZSpheres.mp4 15.0 MB
[5] 4. Refining the Sculpture/[1] Polishing shapes.mp4 14.9 MB
[7] 6. Polypaint and Rendering/[7] Applying materials.mp4 14.9 MB
[6] 5. Primitives/[5] Sculpting the horn with subdivisions.mp4 14.7 MB
[4] 3. Approaching Sculpting/[6] Insert brushes.mp4 14.6 MB
[7] 6. Polypaint and Rendering/[4] Stroke type and alphas for texture detailing.mp4 14.3 MB
[7] 6. Polypaint and Rendering/[1] Paint brush and materials.mp4 14.0 MB
[7] 6. Polypaint and Rendering/[3] Refining the color palette.mp4 13.7 MB
[3] 2. Getting Started/[8] The power of subtools.mp4 13.1 MB
[4] 3. Approaching Sculpting/[2] Splitting up the model into subtools.mp4 13.0 MB
[4] 3. Approaching Sculpting/[5] Polygroups.mp4 12.7 MB
[3] 2. Getting Started/[3] Creating an armature.mp4 12.6 MB
[4] 3. Approaching Sculpting/[7] Alternative way to build shapes.mp4 12.6 MB
[6] 5. Primitives/[2] Modeling the horns with primitives.mp4 12.5 MB
[2] 1. User Interface/[1] Loading projects and templates.mp4 12.5 MB
[4] 3. Approaching Sculpting/[3] The brush system.mp4 12.4 MB
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- 【影视】 Linkedin Learning SQL Server Machine Learning Services
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收录时间:2024-09-07
文档个数:89
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最近下载:2025-05-15
人气:2701
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5. Output Graphics with R/5. Solution- Create a pie chart.mp4 29.0 MB
3. Write R Scripts for SQL Server/5. Select values from a data frame.mp4 14.8 MB
4. Create a SQL Stored Procedure/4. Solution- Write a stored procedure.mp4 12.9 MB
5. Output Graphics with R/2. Produce graphs and plots.mp4 12.8 MB
4. Create a SQL Stored Procedure/1. Sample a data set.mp4 12.4 MB
3. Write R Scripts for SQL Server/1. Variables in R.mp4 11.7 MB
3. Write R Scripts for SQL Server/4. Output data to a result set.mp4 11.4 MB
3. Write R Scripts for SQL Server/3. Query data into an R data frame.mp4 11.0 MB
4. Create a SQL Stored Procedure/2. Parameterize a stored procedure.mp4 10.9 MB
1. Introduction/3. Make the most of the exercise files.mp4 10.6 MB
6. Create an External Data Science Client/1. Install MLS on a standalone server.mp4 10.6 MB
3. Write R Scripts for SQL Server/6. Create a data frame from vectors.mp4 10.5 MB
3. Write R Scripts for SQL Server/9. Solution- Import data.mp4 10.4 MB
2. Get Started with MLS/4. Write your first R script.mp4 10.4 MB
5. Output Graphics with R/3. Create a bar plot.mp4 9.9 MB
2. Get Started with MLS/3. Enable script execution in SQL Server.mp4 9.3 MB
2. Get Started with MLS/5. R data types.mp4 9.1 MB
6. Create an External Data Science Client/2. Add development tools to a client.mp4 9.1 MB
5. Output Graphics with R/1. View installed packages.mp4 9.1 MB
1. Introduction/1. Analyze SQL Server data with R.mp4 8.0 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Optimizers in Machine Learning and Deep Learning
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收录时间:2024-09-14
文档个数:35
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~Get Your Files Here !/5 - Adagrad/2 - Adagrad - Excel implementation.mp4 107.4 MB
~Get Your Files Here !/5 - Adagrad/1 - Adagrad - Intro.mp4 84.3 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/5 - SGD with Sigmoid Activation and Binary Log loss - Part 1.mp4 81.1 MB
~Get Your Files Here !/3 - Momentum/2 - Momentum - Excel implementation.mp4 77.2 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/4 - SGD with ReLu Activation and Mean Absolute Error.mp4 73.6 MB
~Get Your Files Here !/4 - NAG/2 - NAG - Excel implementation.mp4 69.9 MB
~Get Your Files Here !/7 - Adam/2 - Adam - Excel implementation.mp4 59.0 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/3 - SGD - Excel implementation.mp4 45.8 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/1 - Stochastic Gradient Descent (SGD) - Intro.mp4 38.8 MB
~Get Your Files Here !/5 - Adagrad/3 - Adagrad - Validating excel outputs using TensorFlow.mp4 38.1 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/4 - SGD - Validating excel outputs using TensorFlow.mp4 35.3 MB
~Get Your Files Here !/3 - Momentum/3 - Momentum - Validating excel outputs using TensorFlow.mp4 33.3 MB
~Get Your Files Here !/7 - Adam/3 - Adam - Validating excel outputs using TensorFlow.mp4 30.8 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/5 - SGD - Pros and Cons.mp4 30.4 MB
~Get Your Files Here !/4 - NAG/3 - NAG - Validating excel outputs using TensorFlow.mp4 26.6 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/3 - SGD with Root Mean Squared Error.mp4 26.3 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/2 - SGD with Mean Squared Error - Gradient derivation.mp4 24.4 MB
~Get Your Files Here !/7 - Adam/1 - Adam - Intro.mp4 23.1 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/2 - SGD with Mean Absolute Error.mp4 22.3 MB
~Get Your Files Here !/6 - RMSprop/2 - RMSprop - Excel implementation.mp4 20.6 MB
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- 【其他】 Ms Rachel - Songs for Littles - Toddler Learning Videos - S06E04 - Learn To Talk with Ms Rachel - Toddler Learning Video - Learn Colors, Numbers, Emotions & Feelings.webm
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Ms Rachel - Songs for Littles - Toddler Learning Videos - S06E04 - Learn To Talk with Ms Rachel - Toddler Learning Video - Learn Colors, Numbers, Emotions & Feelings.webm 1.4 GB
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- 【其他】 Ms Rachel - Songs for Littles - Toddler Learning Videos - S06E05 - Ms Rachel & Elmo Get Ready For School - ABC Song, Numbers, Colors - Toddler & Preschool Learning.webm
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Ms Rachel - Songs for Littles - Toddler Learning Videos - S06E05 - Ms Rachel & Elmo Get Ready For School - ABC Song, Numbers, Colors - Toddler & Preschool Learning.webm 1.3 GB
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- 【压缩文件】 LinkedIn Learning - Learning RabbitMQ
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收录时间:2024-10-27
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Ex_Files_RabbitMQ.zip 191.2 MB
15- Filter messages with headers exchanges.mp4 34.7 MB
19- Working with dead letter exchanges.mp4 25.2 MB
14- Filter messages with topic exchanges.mp4 21.5 MB
01- Connect your services with asynchronous messaging.mp4 21.3 MB
13- Filter messages with direct exchanges.mp4 19.0 MB
12- Consuming from a RabbitMQ exchange.mp4 17.6 MB
11- Publish to a RabbitMQ exchange.mp4 14.4 MB
17- Authorize or block application actions.mp4 13.0 MB
09- How to install RabbitMQ.mp4 11.3 MB
20- Tracing message contents for troubleshooting.mp4 11.0 MB
18- Validate user IDs.mp4 10.7 MB
10- Introducing the sample application.mp4 9.9 MB
16- Set up and use authentication.mp4 9.2 MB
21- Go further with RabbitMQ.mp4 5.6 MB
04- The AMQP protocol.mp4 4.9 MB
07- Exchange type use cases.mp4 4.6 MB
06- The exchange types.mp4 4.1 MB
03- RabbitMQ message-based systems.mp4 4.0 MB
08- Why use RabbitMQ.mp4 3.4 MB
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- 【其他】 Ms Rachel - Songs for Littles - Toddler Learning Videos - S06E01 - Ms Rachel Visits the Doctor for a Checkup - Doctor Checkup Song - Toddler Learning - Healthy Habits.webm
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Ms Rachel - Songs for Littles - Toddler Learning Videos - S06E01 - Ms Rachel Visits the Doctor for a Checkup - Doctor Checkup Song - Toddler Learning - Healthy Habits.webm 605.4 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
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收录时间:2025-02-19
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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- 【影视】 [ DevCourseWeb.com ] Deep Learning with Python - Optimizing Deep Learning Models
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收录时间:2025-03-08
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~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/05 - Using KerasTuner for hyperparameter tuning.mp4 24.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/07 - Training a deep learning model using callbacks.mp4 21.0 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/04 - Defining a tunable deep learning model in Keras.mp4 18.8 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/02 - Key hyperparameters in deep learning.mp4 15.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/06 - Learning rate scheduling.mp4 11.6 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/01 - Common loss functions in deep learning.mp4 11.1 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/03 - Methods for hyperparameter tuning.mp4 10.8 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/07 - Applying dropout regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/03 - Applying L1 regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/01 - Parameters versus hyperparameters.mp4 10.2 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/04 - Applying L2 regularization to a deep learning model.mp4 10.0 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/03 - Gradient clipping.mp4 9.9 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/04 - Applying gradient clipping to a deep learning model.mp4 9.4 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/05 - Adaptive Gradient Algorithm (AdaGrad).mp4 9.1 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/02 - Applying batch normalization to a deep learning model.mp4 8.4 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/02 - Lasso and ridge regularization.mp4 7.8 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/08 - Adaptive Moment Estimation (Adam).mp4 6.4 MB
~Get Your Files Here !/07 - Conclusion/01 - Continuing to optimize deep learning models.mp4 6.4 MB
~Get Your Files Here !/02 - 1. Optimizing Deep Learning Models/01 - The importance of optimizing deep learning models.mp4 6.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/01 - The bias-variance trade-off.mp4 6.1 MB
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- 【压缩文件】 python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2
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收录时间:2025-03-08
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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_jp2.zip 261.7 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr.html 31.1 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_chocr.html.gz 17.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.xml 16.6 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.pdf 9.9 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.epub 5.5 MB
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