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[FreeCourseLab.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning
1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip
321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4
247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4
186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4
175.0 MB
4. Image Processing/5. Image Thresholding.mp4
145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4
144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4
133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4
122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4
122.3 MB
4. Image Processing/9. Gradients.mp4
118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4
118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4
116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4
114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4
109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4
104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4
102.8 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4
102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4
102.0 MB
4. Image Processing/8. Morphological Operators.mp4
101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4
100.9 MB
[磁力链接]
添加时间:
2021-03-23
大小:
6.2 GB
最近下载:
2025-10-30
热度:
1823
Modern Deep Learning in Python
Modern Deep Learning in Python/17. Appendix/4. Windows-Focused Environment Setup 2018.mp4
195.4 MB
Modern Deep Learning in Python/15. PyTorch/1. PyTorch Basics.mp4
122.5 MB
Modern Deep Learning in Python/17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
Modern Deep Learning in Python/17. Appendix/2. What's the difference between neural networks and deep learning.mp4
47.3 MB
Modern Deep Learning in Python/11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4
46.1 MB
Modern Deep Learning in Python/17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.1 MB
Modern Deep Learning in Python/17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
40.9 MB
Modern Deep Learning in Python/14. Keras/3. Keras Functional API.mp4
40.5 MB
Modern Deep Learning in Python/17. Appendix/14. What order should I take your courses in (part 2).mp4
39.4 MB
Modern Deep Learning in Python/11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4
39.2 MB
Modern Deep Learning in Python/15. PyTorch/3. PyTorch Batch Norm.mp4
35.5 MB
Modern Deep Learning in Python/15. PyTorch/2. PyTorch Dropout.mp4
34.3 MB
Modern Deep Learning in Python/17. Appendix/13. What order should I take your courses in (part 1).mp4
30.8 MB
Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4
26.9 MB
Modern Deep Learning in Python/17. Appendix/7. How to Code by Yourself (part 1).mp4
25.7 MB
Modern Deep Learning in Python/8. TensorFlow/2. Building a neural network in TensorFlow.mp4
25.0 MB
Modern Deep Learning in Python/8. TensorFlow/3. What is a Session (And more).mp4
24.7 MB
Modern Deep Learning in Python/2. Review/1. Review of Basic Concepts.mp4
24.5 MB
Modern Deep Learning in Python/12. Modern Regularization Techniques/2. Dropout Regularization.mp4
23.8 MB
Modern Deep Learning in Python/7. Theano/2. Building a neural network in Theano.mp4
22.8 MB
[磁力链接]
添加时间:
2021-03-23
大小:
1.6 GB
最近下载:
2025-11-03
热度:
2328
[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip
314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip
314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4
60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4
52.6 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt
47.1 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4
46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4
42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4
41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4
39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4
37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4
37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4
36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4
36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4
35.8 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4
35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4
35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4
34.4 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4
34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4
34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4
33.5 MB
[磁力链接]
添加时间:
2021-03-23
大小:
2.5 GB
最近下载:
2025-10-04
热度:
986
[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4
226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4
173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4
169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4
163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4
158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4
145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4
137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4
137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4
135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4
135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4
128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4
118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4
118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4
117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4
114.1 MB
23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4
111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4
108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4
108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4
106.5 MB
[磁力链接]
添加时间:
2021-03-23
大小:
14.1 GB
最近下载:
2025-06-16
热度:
505
[FreeAllCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4
195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
2. Numpy (New)/7. Generating Data.mp4
66.2 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4
63.4 MB
2. Numpy (New)/5. Matrices.mp4
60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4
53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4
51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4
40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4
39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4
36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4
30.8 MB
2. Numpy (New)/3. Dot Product.mp4
27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4
26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4
25.2 MB
4. Pandas (New)/2. Loading in Data.mp4
24.8 MB
5. Scipy (New)/3. Convolution.mp4
22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4
20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4
18.8 MB
[磁力链接]
添加时间:
2021-03-22
大小:
1.2 GB
最近下载:
2025-06-26
热度:
75
[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
[ FreeCourseWeb.com ] Udemy - 2021 - Algorithmic Trading with Machine Learning in Python.zip
[ FreeCourseWeb.com ] Udemy - 2021 - Algorithmic Trading with Machine Learning in Python.zip
4.1 GB
[磁力链接]
添加时间:
2021-03-22
大小:
4.1 GB
最近下载:
2025-11-04
热度:
4528
[FTUForum.com] [UDEMY] Master Computer Vision™ OpenCV4 in Python with Deep Learning [FTU]
19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz
149.5 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.1 DeepLearningCV_MOCV.tar.gz.gz
142.0 MB
1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip
133.7 MB
18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz
126.7 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.mp4
124.1 MB
1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz
121.8 MB
20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz
120.1 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4
108.8 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.mp4
107.4 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.mp4
104.7 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.mp4
81.2 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.vtt
78.0 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.mp4
78.0 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4
77.3 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.mp4
76.2 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).mp4
70.6 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4
66.4 MB
8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp4
63.5 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/5. Activation Functions.mp4
62.6 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/6. Training Part 1 – Loss Functions.mp4
61.3 MB
[磁力链接]
添加时间:
2021-03-22
大小:
3.9 GB
最近下载:
2025-11-01
热度:
1345
Learning Data Structures & Algorithms in Python from Scratch
Learning Data Structures & Algorithms in Python from Scratch.zip
1.9 GB
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:
1.9 GB
最近下载:
2025-11-01
热度:
3635
[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip
[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip
773.2 MB
[磁力链接]
添加时间:
2021-03-22
大小:
773.2 MB
最近下载:
2025-10-28
热度:
351
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:
2025-11-01
热度:
2615
GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp
25. Neural Nets and Deep Learning/30. Tensorboard.mp4
151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4
150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4
143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4
131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4
116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4
101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4
89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4
88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4
86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4
84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4
80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4
79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4
79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4
72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4
67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4
66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4
66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4
65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4
63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4
60.8 MB
[磁力链接]
添加时间:
2021-03-22
大小:
5.5 GB
最近下载:
2025-11-01
热度:
6663
[FreeCourseSite.com] Udemy - Unsupervised Deep Learning in Python
12. Appendix/3. Windows-Focused Environment Setup 2018.mp4
195.4 MB
9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4
134.8 MB
9. Applications to Recommender Systems/5. AutoRec in Code.mp4
107.3 MB
10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4
102.1 MB
10. Basics Review/1. (Review) Theano Basics.mp4
98.0 MB
10. Basics Review/2. (Review) Theano Neural Network in Code.mp4
91.3 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt
87.0 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4
87.0 MB
10. Basics Review/3. (Review) Tensorflow Basics.mp4
85.4 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt
82.1 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4
73.8 MB
9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4
71.5 MB
10. Basics Review/6. (Review) Keras in Code pt 1.mp4
69.4 MB
2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4
56.3 MB
2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4
53.8 MB
2. Principal Components Analysis/2. How does PCA work.mp4
53.4 MB
5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4
51.5 MB
9. Applications to Recommender Systems/4. AutoRec.mp4
51.3 MB
5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4
50.1 MB
[磁力链接]
添加时间:
2021-03-21
大小:
3.1 GB
最近下载:
2025-10-27
热度:
1405
[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip
239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4
59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4
55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4
54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4
54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4
53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4
53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4
51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4
50.4 MB
39. XGBoost/4. XGBoost in R.mp4
49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4
49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4
49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4
49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4
48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4
48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4
47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4
46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4
46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4
46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4
45.8 MB
[磁力链接]
添加时间:
2021-03-21
大小:
6.4 GB
最近下载:
2025-10-22
热度:
1174
[Tutorialsplanet.NET] Udemy - GAdvanced AI Deep Reinforcement Learning in Python
6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4
246.0 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4
245.0 MB
9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4
195.2 MB
7. A3C/5. A3C - Code pt 4.mp4
193.3 MB
2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4
110.4 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4
102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4
97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4
91.2 MB
7. A3C/4. A3C - Code pt 3.mp4
88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4
85.4 MB
10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4
82.0 MB
7. A3C/1. A3C - Theory and Outline.mp4
75.3 MB
2. The Basics of Reinforcement Learning/11. Q-Learning.mp4
70.4 MB
7. A3C/3. A3C - Code pt 2.mp4
60.4 MB
2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
60.1 MB
2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4
53.3 MB
1. Introduction and Logistics/1. Introduction and Outline.mp4
52.9 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4
52.5 MB
2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4
50.5 MB
2. The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4
46.7 MB
[磁力链接]
添加时间:
2021-03-21
大小:
3.1 GB
最近下载:
2025-10-26
热度:
190
Curso completo de Machine Learning Data Science en Python - COMPLETO
8. Regresión logística con Python/7. Estimación con el método de máxima verosimilitud.mp4
476.4 MB
8. Regresión logística con Python/8. Crear un modelo logístico desde cero.mp4
461.6 MB
9. Clustering y clasificación/2. ¿Qué es y para qué sirve el clustering.mp4
347.6 MB
7. Regresión lineal con Python/19. Transformar las variables en relaciones no lineales.mp4
333.6 MB
14. Análisis de componentes principales/3. Demostración de cómo se hace un ACP.mp4
325.2 MB
10. Árboles y bosques aleatorios/5. Algoritmos para la generación de árboles de clasificación.mp4
323.2 MB
11. Máquinas de Soporte Vectorial/14. Práctica de SVM reconocimiento facial a lo CSI.mp4
322.4 MB
9. Clustering y clasificación/3. El concepto de distancia.mp4
320.8 MB
8. Regresión logística con Python/9. Análisis exploratorio de los datos.mp4
315.2 MB
9. Clustering y clasificación/17. Implementando la técnica del codo y el coeficiente de la silueta.mp4
313.1 MB
10. Árboles y bosques aleatorios/4. Entropía y ganancia de Información.mp4
310.3 MB
7. Regresión lineal con Python/16. Variables categóricas en una regresión lineal.mp4
298.3 MB
8. Regresión logística con Python/16. Implementación de las curvas ROC en Python.mp4
296.5 MB
15. Introducción a las redes neuronales y al deep learning con TensorFlow/7. La carga del dataset de imágenes.mp4
295.8 MB
7. Regresión lineal con Python/5. Sumas de los cuadrados totales, de las diferencias y de la regresión.mp4
294.4 MB
11. Máquinas de Soporte Vectorial/3. El problema de clasificación no óptimo.mp4
286.7 MB
11. Máquinas de Soporte Vectorial/15. Práctica de SVM Clasificación de las flores de Iris.mp4
281.7 MB
14. Análisis de componentes principales/6. Plotly, la librería de gráficos personalizados e interactivos.mp4
280.2 MB
9. Clustering y clasificación/10. Un clustering completo por donde cortamos el dendrograma.mp4
275.9 MB
9. Clustering y clasificación/6. Uniendo datos manualmente.mp4
265.8 MB
[磁力链接]
添加时间:
2021-03-21
大小:
28.0 GB
最近下载:
2025-10-30
热度:
1348
[ FreeCourseWeb.com ] Lynda - SQL Server Machine Learning Services- Python.zip
[ FreeCourseWeb.com ] Lynda - SQL Server Machine Learning Services- Python.zip
377.4 MB
[磁力链接]
添加时间:
2021-03-21
大小:
377.4 MB
最近下载:
2025-10-29
热度:
928
[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4
195.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4
108.8 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4
91.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4
68.5 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4
57.3 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4
54.5 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4
54.4 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4
53.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4
52.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4
51.5 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4
47.1 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.0 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4
44.4 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
40.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4
39.7 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4
39.4 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4
38.9 MB
1. Welcome/1. Introduction.mp4
35.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4
35.6 MB
[磁力链接]
添加时间:
2021-03-21
大小:
2.0 GB
最近下载:
2025-11-03
热度:
1893
[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 11 - 2020).zip
[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 11 - 2020).zip
1.9 GB
[磁力链接]
添加时间:
2021-03-20
大小:
1.9 GB
最近下载:
2025-01-02
热度:
98
[ FreeCourseWeb.com ] Udemy - [2020] Python tutorial from Zero to Hero - + Machine Learning.zip
[ FreeCourseWeb.com ] Udemy - [2020] Python tutorial from Zero to Hero - + Machine Learning.zip
2.0 GB
[磁力链接]
添加时间:
2021-03-20
大小:
2.0 GB
最近下载:
2025-11-03
热度:
811
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