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[磁力链接] 添加时间:2018-08-15 大小:4.5 GB 最近下载:2025-07-02 热度:1106

[ FreeCourseWeb.com ] Udemy - Data Science, Machine Learning and Deep Learning with Python.zip

[ FreeCourseWeb.com ] Udemy - Data Science, Machine Learning and Deep Learning with Python.zip 4.5 GB

[磁力链接] 添加时间:2024-04-06 大小:4.5 GB 最近下载:2025-05-24 热度:70

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Screens/screen0004.png 1.6 MB
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[ DevCourseWeb.com ] Udemy - Machine Deep Learning for Biology with Python and Tensorflow

~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 234.1 MB
~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 175.2 MB
~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 169.3 MB
~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 137.0 MB
~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 123.8 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 123.2 MB
~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 115.1 MB
~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 111.6 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 109.1 MB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 108.0 MB
~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 91.5 MB
~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 90.6 MB
~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 87.8 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 87.1 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 84.3 MB
~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 82.4 MB
~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 82.3 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 81.3 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 78.6 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 76.6 MB

[磁力链接] 添加时间:2024-02-01 大小:4.4 GB 最近下载:2025-06-24 热度:2325

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[磁力链接] 添加时间:2018-04-20 大小:4.4 GB 最近下载:2018-10-24 热度:48

[DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB

[磁力链接] 添加时间:2021-03-13 大小:4.3 GB 最近下载:2025-06-30 热度:2385

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05. Redes Neurais Convolucionais - Deep Learning com PyTorch/02. Convolução 1D/02 - Aplicação com Scipy.mp4 112.6 MB
02. Redes Neurais - Deep Learning com PyTorch/04. Funções de Ativação/03 - Ativações no PyTorch.mp4 107.1 MB
02. Redes Neurais - Deep Learning com PyTorch/02. Tensores/02 - Tensores.mp4 106.5 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/04 - Fluxo de treinamento.mp4 97.3 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/01. Conceitos Gerais/08 - Detecção e Segmentação.mp4 95.4 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/03. Convolução 2D/03 - Filtros Convolucionais.mp4 94.5 MB
06. Redes Neurais Recorrentes - Deep Learning com Pytorch/05. Sequências de Tamanho Variável/05 - Sequências empacotadas.mp4 93.8 MB
04. Treinando uma Rede Neural - Deep Learning com PyTorch/05. Datasets e Fluxo de Validação/03 - Fluxo de Validação.mp4 92.9 MB
04. Treinando uma Rede Neural - Deep Learning com PyTorch/04. DataLoader e Fluxo de Treinamento/03 - Datasets no Pytorch.mp4 90.1 MB
04. Treinando uma Rede Neural - Deep Learning com PyTorch/05. Datasets e Fluxo de Validação/02 - Datasets Customizados.mp4 88.7 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/05 - Extração de características.mp4 88.5 MB
02. Redes Neurais - Deep Learning com PyTorch/05. Redes Neurais/03 - Múltiplas Camadas de Perceptron.mp4 86.8 MB
02. Redes Neurais - Deep Learning com PyTorch/03. Perceptron/03 - Classificação Linear.mp4 83.6 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/01 - CNN do zero em PyTorch.mp4 80.5 MB
06. Redes Neurais Recorrentes - Deep Learning com Pytorch/05. Sequências de Tamanho Variável/03 - Representação do Dado.mp4 78.6 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/04. Camada Convolucional no PyTorch/04 - Implementando em PyTorch.mp4 78.4 MB
02. Redes Neurais - Deep Learning com PyTorch/03. Perceptron/02 - Classificação Linear.mp4 74.5 MB
02. Redes Neurais - Deep Learning com PyTorch/01. História das Redes Neurais/02 - História das Redes Neurais.mp4 73.3 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/03. Convolução 2D/02 - Aplicação com Scipy.mp4 72.7 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/06 - Fine-tuning.mp4 71.8 MB

[磁力链接] 添加时间:2023-12-18 大小:4.3 GB 最近下载:2025-07-02 热度:2174

[GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R

15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
19. Test Train Split/4. Test train split in R.mp4 79.3 MB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 73.7 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB

[磁力链接] 添加时间:2021-04-29 大小:4.3 GB 最近下载:2025-07-03 热度:1265