learning python -移花宫 -武林禁地，闲人禁止入内

[ FreeCourseWeb.com ] 40 Algorithms Every Programmer Should Know - Hone your problem-solving skills by learning different algorithms & implem in Python.zip

[ FreeCourseWeb.com ] 40 Algorithms Every Programmer Should Know - Hone your problem-solving skills by learning different algorithms & implem in Python.zip 571.5 MB

[磁力链接] 添加时间:2021-03-17 大小:571.5 MB 最近下载:2025-10-29 热度:691

[DesireCourse.Net] Udemy - Beginning with Machine Learning & Data Science in Python

2. Understanding Data Wrangling/7. Cleaning Messy Data.mp4 33.6 MB
2. Understanding Data Wrangling/3. Selecting data and finding the most common complaint type.mp4 26.3 MB
6. Regularization/6. Regularization using scikit-learn.mp4 24.0 MB
3. Linear Regression/5. Simple Linear Regression.mp4 23.0 MB
2. Understanding Data Wrangling/6. Which month was the snowiest.mp4 21.4 MB
3. Linear Regression/11. Handling categorical features.mp4 20.8 MB
2. Understanding Data Wrangling/4. Which borough has the most noise complaints.mp4 20.4 MB
1. Working with Machine Learning/5. Python and Jupyter Demo.mp4 18.5 MB
2. Understanding Data Wrangling/5. Which weekday do people bike the most.mp4 17.8 MB
6. Regularization/4. Regularizing linear models.mp4 17.7 MB
2. Understanding Data Wrangling/8. How to deal with timestamps.mp4 17.2 MB
4. Logistic Regression/8. Interpreting logistic regression.mp4 17.1 MB
2. Understanding Data Wrangling/2. Reading from a CSV.mp4 16.8 MB
5. Cross Validation/4. Cross-validation continued.mp4 16.7 MB
4. Logistic Regression/4. Predicting a categorical response.mp4 16.5 MB
3. Linear Regression/8. Multiple linear regression.mp4 16.1 MB
4. Logistic Regression/6. Probability, odds, log-odds.mp4 15.8 MB
2. Understanding Data Wrangling/9. Loading data from SQL databases.mp4 14.1 MB
6. Regularization/8. Pipeline and GridSearchCV.mp4 13.2 MB
6. Regularization/3. Overfitting with linear models.mp4 13.1 MB

[磁力链接] 添加时间:2021-03-06 大小:569.1 MB 最近下载:2024-09-21 热度:785

Coursera - Applied Machine Learning in Python

03_module-3/01_module-3-evaluation/01_model-evaluation-selection.mp4 33.3 MB
02_module-2/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.mp4 31.8 MB
02_module-2/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 30.7 MB
02_module-2/01_module-2-supervised-machine-learning/12_decision-trees.mp4 28.8 MB
04_module-4/01_module-4-supervised-machine-learning-part-2/05_neural-networks.mp4 28.4 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/07_k-nearest-neighbors-classification.mp4 28.2 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/03_key-concepts-in-machine-learning.mp4 24.9 MB
03_module-3/01_module-3-evaluation/08_model-selection-optimizing-classifiers-for-different-evaluation-metrics.mp4 21.0 MB
04_module-4/01_module-4-supervised-machine-learning-part-2/08_data-leakage.mp4 20.1 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/05_an-example-machine-learning-problem.mp4 20.0 MB
02_module-2/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4 19.9 MB
02_module-2/01_module-2-supervised-machine-learning/08_linear-classifiers-support-vector-machines.mp4 19.2 MB
02_module-2/01_module-2-supervised-machine-learning/04_k-nearest-neighbors-classification-and-regression.mp4 18.7 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/02_introduction.mp4 18.3 MB
04_module-4/01_module-4-supervised-machine-learning-part-2/03_random-forests.mp4 18.3 MB
03_module-3/01_module-3-evaluation/05_multi-class-evaluation.mp4 17.5 MB
02_module-2/01_module-2-supervised-machine-learning/07_logistic-regression.mp4 17.2 MB
03_module-3/01_module-3-evaluation/02_confusion-matrices-basic-evaluation-metrics.mp4 17.0 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/06_examining-the-data.mp4 16.4 MB
02_module-2/01_module-2-supervised-machine-learning/02_overfitting-and-underfitting.mp4 16.3 MB

[磁力链接] 添加时间:2024-04-03 大小:566.7 MB 最近下载:2025-10-29 热度:952

Deep Learning Prerequisites The Numpy Stack in Python

Deep Learning Prerequisites The Numpy Stack in Python.zip 562.7 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2021-03-22 大小:562.7 MB 最近下载:2025-10-27 热度:2613

[UdemyCourseDownloader] Advanced AI Deep Reinforcement Learning in Python

07 Appendix/044 Environment Setup.mp4 46.0 MB
udemycoursedownloader.com.url 132 Bytes
01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
02 Background Review/004 Review Intro.mp4 4.4 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB

[磁力链接] 添加时间:2018-11-27 大小:547.6 MB 最近下载:2025-05-16 热度:687

[FreeTutorials.Us] deep-reinforcement-learning-in-python

01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
02 Background Review/004 Review Intro.mp4 4.4 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4 9.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB

[磁力链接] 添加时间:2017-08-18 大小:547.6 MB 最近下载:2025-09-15 热度:978

[FreeTutorials.Us] deep-reinforcement-learning-in-python

07 Appendix/044 Environment Setup.mp4 46.0 MB
07 Appendix/045 How to Code by Yourself part 1.mp4 25.7 MB
05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4 21.1 MB
06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
05 Policy Gradients/034 Mountain Car Continuous Theano.mp4 20.0 MB
05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4 18.8 MB
05 Policy Gradients/029 Policy Gradient Methods.mp4 18.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4 16.5 MB
06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4 15.7 MB
07 Appendix/046 How to Code by Yourself part 2.mp4 15.5 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4 15.1 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4 14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4 14.1 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
04 TD Lambda/026 TD Lambda.mp4 12.3 MB

[磁力链接] 添加时间:2021-03-11 大小:547.6 MB 最近下载:2024-09-15 热度:289

Packt Publishing - Learning Python Web Penetration Testing

Packt Publishing - Learning Python Web Penetration Testing.iso 534.5 MB
More_info.txt 658 Bytes

[磁力链接] 添加时间:2017-02-11 大小:534.5 MB 最近下载:2021-03-09 热度:132

[ DevCourseWeb.com ] Udemy - Learn Machine Learning Course with Python A to Z

~Get Your Files Here !/8. Hierarchical Clustering.mp4 86.3 MB
~Get Your Files Here !/3. Confusion Matrix.mp4 68.7 MB
~Get Your Files Here !/7. Grid Search.mp4 65.6 MB
~Get Your Files Here !/6. Decision Tree.mp4 65.3 MB
~Get Your Files Here !/9. K-Means Clustering.mp4 56.0 MB
~Get Your Files Here !/4. Cross Validation.mp4 49.8 MB
~Get Your Files Here !/1. Bootstrap Aggregation.mp4 48.9 MB
~Get Your Files Here !/5. Data Distribution.mp4 45.5 MB
~Get Your Files Here !/2. Categorical Data.mp4 42.3 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

[磁力链接] 添加时间:2024-02-28 大小:528.5 MB 最近下载:2025-10-29 热度:1834

[DesireCourse.Com] Udemy - Natural Language Processing with Deep Learning in Python

[DesireCourse.Com] Udemy - Natural Language Processing with Deep Learning in Python.zip 524.3 MB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

[磁力链接] 添加时间:2018-08-21 大小:524.3 MB 最近下载:2025-09-25 热度:2401

[FreeCourseSite.com] Udemy - Modern Deep Learning in Python

09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB

[磁力链接] 添加时间:2021-03-08 大小:514.7 MB 最近下载:2025-10-02 热度:733

[FreeCoursesOnline.Me] [Packt] Troubleshooting Python Deep Learning [FCO]

1. Solutions to Convolutional Neural Network Problems – Part One_/02.Concatenate Two CNNs Correctly.mp4 77.6 MB
1. Solutions to Convolutional Neural Network Problems – Part One_/01.The Course Overview.mp4 39.5 MB
6. Solving NumPy Problems_/44.Turn ND Matrix Into 1D Vector.mp4 31.5 MB
6. Solving NumPy Problems_/43.Fix load.npy Error in Python3.mp4 17.3 MB
4.Solutions to LSTM Recurrent Neural Networks Problems/27.Working with Different Lengths of Input and Output Sequences.mp4 16.4 MB
1. Solutions to Convolutional Neural Network Problems – Part One_/03.Splitting Trained Model.mp4 13.8 MB
3. Solutions to Recurrent Neural Network Problems_/19.Wrong Input - ValueError – Error When Checking Input.mp4 13.8 MB
5. Troubleshooting Models with scikit-learn_/35.Handling Missing Values.mp4 13.3 MB
4.Solutions to LSTM Recurrent Neural Networks Problems/32.How To Do Text Classification with LSTM.mp4 11.9 MB
1. Solutions to Convolutional Neural Network Problems – Part One_/06.High val_acc, But Low Accuracy in Practice.mp4 11.6 MB
3. Solutions to Recurrent Neural Network Problems_/20.Correct Text Preparation for Machine Translation.mp4 11.0 MB
5. Troubleshooting Models with scikit-learn_/37.Fixing Warning Messages.mp4 10.8 MB
2. Solutions to Convolutional Neural Network Problems – Part Two_/11.Interpreting kernel_size Notation in CNNs.mp4 10.4 MB
3. Solutions to Recurrent Neural Network Problems_/24.Preparing Data Correctly for Time Series Prediction.mp4 10.1 MB
4.Solutions to LSTM Recurrent Neural Networks Problems/26.Stacking Multiple LSTM in Keras TypeError - Call() Got an Unexpected Keyword Argument 'return_sequences'.mp4 10.1 MB
2. Solutions to Convolutional Neural Network Problems – Part Two_/13.Using Validation Accuracy.mp4 9.3 MB
5. Troubleshooting Models with scikit-learn_/36.Evaluating Deep Learning Models Using Additional Metrics.mp4 9.1 MB
2. Solutions to Convolutional Neural Network Problems – Part Two_/17.Shape Error When Training CIFAR-10 Dataset on CNN.mp4 9.1 MB
6. Solving NumPy Problems_/41.Converting a 2D Matrix to a One-Hot Encoded Matrix.mp4 9.0 MB
4.Solutions to LSTM Recurrent Neural Networks Problems/29.Using CNN-LSTM for Time Series Prediction.mp4 8.9 MB

[磁力链接] 添加时间:2021-03-22 大小:511.1 MB 最近下载:2025-10-25 热度:1475

[CourseClub.NET] Packtpub - Deep Learning for Python Developers

2 - Deep Models with MxNet and TensorFlow/Mini Project - CIFAR Classification.mp4 57.7 MB
5 - Hyperparameter Tuning/Mini Project -Music Synthesis.mp4 42.6 MB
3 - Improving Deep Neural Networks/Mini Project – SIGNS Dataset.mp4 39.4 MB
4 - Optimization Algorithms/Mini Project - Language Modeling.mp4 37.0 MB
5 - Hyperparameter Tuning/Hyperparameters.mp4 32.7 MB
4 - Optimization Algorithms/Understanding Stochastic Gradient Descent.mp4 27.0 MB
2 - Deep Models with MxNet and TensorFlow/Working with MxNet and Gluon.mp4 24.9 MB
2 - Deep Models with MxNet and TensorFlow/Defining and Training Neural Networks in MxNet_Gluon.mp4 24.5 MB
1 - Getting Started with Deep Learning/Convolutional Neural Network Handwriting Recognition.mp4 24.1 MB
1 - Getting Started with Deep Learning/Fundamentals of Neural Networks.mp4 21.0 MB
2 - Deep Models with MxNet and TensorFlow/Defining and Training Neural Networks in Keras_TensorFlow.mp4 19.3 MB
3 - Improving Deep Neural Networks/Weight Initialization for Deep Networks.mp4 19.3 MB
5 - Hyperparameter Tuning/Tuning Hyperparameters - Random Search.mp4 19.2 MB
5 - Hyperparameter Tuning/Tuning Hyperparameters - Grid Search.mp4 18.0 MB
4 - Optimization Algorithms/Adaptive Learning Algorithms - RMSProp and Adam.mp4 17.6 MB
2 - Deep Models with MxNet and TensorFlow/Working with TensorFlow and Keras.mp4 17.3 MB
3 - Improving Deep Neural Networks/Normalizing and Vanishing_Exploding Gradients.mp4 16.0 MB
3 - Improving Deep Neural Networks/Regularization and Dropout.mp4 13.9 MB
1 - Getting Started with Deep Learning/Logistic Regression with a Neural Network Mindset.mp4 12.2 MB
1 - Getting Started with Deep Learning/Using Forward Propagation, Backprop, and SGD.mp4 11.5 MB

[磁力链接] 添加时间:2021-03-16 大小:509.9 MB 最近下载:2025-10-18 热度:1107

deep-reinforcement-learning-in-python

03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
04 TD Lambda/028 TD Lambda Summary.mp4 3.8 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
07 Appendix/045 Where to get Udemy coupons and FREE deep learning material.mp4 4.2 MB
02 Background Review/004 Review Intro.mp4 4.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
04 TD Lambda/024 N-Step Methods.mp4 5.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp4 5.3 MB
01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp4 5.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
06 Deep Q-Learning/036 Deep Q-Learning Intro.mp4 6.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp4 6.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
05 Policy Gradients/033 Mountain Car Continuous Specifics.mp4 6.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
05 Policy Gradients/032 Continuous Action Spaces.mp4 6.9 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
06 Deep Q-Learning/043 Partially Observable MDPs.mp4 8.0 MB

[磁力链接] 添加时间:2017-05-30 大小:506.4 MB 最近下载:2025-09-09 热度:115

[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Building Web Crawlers for Data Acquisition with Python Scrapy.zip

[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Building Web Crawlers for Data Acquisition with Python Scrapy.zip 502.1 MB

[磁力链接] 添加时间:2022-01-21 大小:502.1 MB 最近下载:2025-10-29 热度:1492

unsupervised-deep-learning-in-python

07 Extras Visualizing what features a neural network has learned/028 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 2.3 MB
04 Autoencoders/019 Deep Autoencoder Visualization Description.mp4 2.6 MB
01 Introduction and Outline/001 Introduction and Outline.mp4 3.4 MB
04 Autoencoders/013 Denoising Autoencoders.mp4 3.6 MB
02 Principal Components Analysis/007 PCA objective function.mp4 3.9 MB
07 Extras Visualizing what features a neural network has learned/027 Exercises on feature visualization and interpretation.mp4 3.9 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/030 BONUS Application of PCA and SVD to NLP Natural Language Processing.mp4 4.1 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4 4.6 MB
05 Restricted Boltzmann Machines/023 Contrastive Divergence for RBM Training.mp4 5.1 MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 5.4 MB
06 The Vanishing Gradient Problem/025 The Vanishing Gradient Problem Description.mp4 5.5 MB
04 Autoencoders/012 Autoencoders.mp4 6.1 MB
04 Autoencoders/014 Stacked Autoencoders.mp4 6.9 MB
02 Principal Components Analysis/005 PCA derivation.mp4 7.0 MB
04 Autoencoders/018 Cross Entropy vs. KL Divergence.mp4 7.8 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4 8.3 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4 9.8 MB
05 Restricted Boltzmann Machines/022 Deriving Conditional Probabilities from Joint Probability.mp4 9.8 MB
02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4 9.8 MB
01 Introduction and Outline/003 How to Succeed in this Course.mp4 10.0 MB

[磁力链接] 添加时间:2017-05-30 大小:490.2 MB 最近下载:2025-09-10 热度:180

[ TutPig.com ] Udemy - Learning Path - Python - Design and Architect Python Apps.zip

[ TutPig.com ] Udemy - Learning Path - Python - Design and Architect Python Apps.zip 489.4 MB

[磁力链接] 添加时间:2022-01-23 大小:489.4 MB 最近下载:2025-10-13 热度:408

[ CourseHulu.com ] Machine Learning with Python - Practical Application

~Get Your Files Here !/Exercise Files/07/understanding-other-types-of-ml-problems-slides.pdf 32.6 MB
~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/03. Getting ML Technical.mp4 31.1 MB
~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/02. The Right ML Tool for the Job.mp4 29.2 MB
~Get Your Files Here !/07. Understanding Other Types of ML Problems/35. Final Takeaway.mp4 26.1 MB
~Get Your Files Here !/03. Regression/07. Introduction to Regression Algorithms.mp4 24.4 MB
~Get Your Files Here !/04. Classification/14. Classification Algorithms.mp4 20.3 MB
~Get Your Files Here !/05. Dimensionality Reduction/23. Dimensionality Reduction.mp4 19.7 MB
~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/04. Learning Styles and Algorithm Types.mp4 19.5 MB
~Get Your Files Here !/06. Clustering/28. Clustering Algorithms.mp4 18.4 MB
~Get Your Files Here !/04. Classification/15. Logistic Regression.mp4 16.9 MB
~Get Your Files Here !/04. Classification/20. Neural Networks.mp4 16.2 MB
~Get Your Files Here !/Exercise Files/03/regression-slides.pdf 15.9 MB
~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/05. Platforms and Libraries.mp4 14.6 MB
~Get Your Files Here !/04. Classification/16. Naive Bayes.mp4 13.6 MB
~Get Your Files Here !/Exercise Files/05/dimensionality-reduction-slides.pdf 13.1 MB
~Get Your Files Here !/04. Classification/21. Convolutional Neural Networks.mp4 12.7 MB
~Get Your Files Here !/07. Understanding Other Types of ML Problems/34. Other Types of Machine Learning Algorithms.mp4 12.4 MB
~Get Your Files Here !/03. Regression/08. Linear Regression.mp4 12.0 MB
~Get Your Files Here !/04. Classification/19. Decision Trees and Random Forests.mp4 11.7 MB
~Get Your Files Here !/06. Clustering/29. K Means.mp4 10.5 MB

[磁力链接] 添加时间:2022-03-30 大小:485.4 MB 最近下载:2025-10-25 热度:1353

Packt Publishing - Python Machine Learning - Part 1

Packt Publishing - Python Machine Learning - Part 1.iso 485.3 MB
More_info.txt 658 Bytes

[磁力链接] 添加时间:2017-02-21 大小:485.3 MB 最近下载:2025-03-05 热度:48

[ DevCourseWeb.com ] Machine Learning with PyTorch and Scikit-Learn - Develop machine learning and deep learning models with Python

~Get Your Files Here !/9781801819312_Code/git/objects/pack/pack-0f48181b8b0c051c40c7d403bfb95ecde41a358a.pack 164.0 MB
~Get Your Files Here !/9781801819312_Code/ch08/movie_data.csv 65.9 MB
~Get Your Files Here !/9781801819312.epub 63.5 MB
~Get Your Files Here !/9781801819312-MACHINELEARNINGWITHPYTORCHANDSCIKITLEARN.pdf 30.7 MB
~Get Your Files Here !/9781801819312_Code/ch18/ch18_part1.ipynb 11.8 MB
~Get Your Files Here !/9781801819312_Code/ch17/ch17_part1.ipynb 7.4 MB
~Get Your Files Here !/9781801819312_Code/ch16/ch16-part2-gpt2.ipynb 7.0 MB
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