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【影视】 Modern Deep Learning in Python

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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

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【压缩文件】 [FreeCourseSite.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

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7. Building a CNN/1.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
7. Building a CNN/8. Building a CNN - FINAL DEMO!.mp4 160.2 MB
25. Logistic Regression Implementation/8. Logistic Regression - Step 7.mp4 124.4 MB
7. Building a CNN/4. Building a CNN - Step 3.mp4 124.4 MB
4. Building an ANN/5. Building an ANN - Step 2.mp4 116.4 MB
7. Building a CNN/3. Building a CNN - Step 2.mp4 112.1 MB
24. Data Preprocessing Template/8. Data Preprocessing - Step 7.mp4 106.7 MB
4. Building an ANN/8. Building an ANN - Step 5.mp4 106.2 MB
7. Building a CNN/6. Building a CNN - Step 5.mp4 102.5 MB
24. Data Preprocessing Template/6. Data Preprocessing - Step 5.mp4 93.0 MB
25. Logistic Regression Implementation/3. Logistic Regression - Step 2.mp4 88.8 MB
4. Building an ANN/6. Building an ANN - Step 3.mp4 78.7 MB
24. Data Preprocessing Template/4. Data Preprocessing - Step 3.srt 75.3 MB
24. Data Preprocessing Template/4. Data Preprocessing - Step 3.mp4 75.3 MB
7. Building a CNN/2. Building a CNN - Step 1.mp4 74.2 MB
24. Data Preprocessing Template/5. Data Preprocessing - Step 4.mp4 72.4 MB
24. Data Preprocessing Template/7. Data Preprocessing - Step 6.mp4 70.9 MB
4. Building an ANN/3. Building an ANN - Step 1.mp4 69.7 MB
4. Building an ANN/7. Building an ANN - Step 4.mp4 68.5 MB
18. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp4 67.7 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learning Chinese Classroom for Beginer.zip

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[ FreeCourseWeb.com ] Udemy - Learning Chinese Classroom for Beginer.zip 394.3 MB

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【压缩文件】 GetFreeCourses.Co-Udemy-Learning to Learn [Efficient Learning] Zero to Mastery.zip

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【其他】 Lopez A. - Learning PHP 7 - 2016

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Code/Chapter 8/B05196_Ch08_Code/laravel/vendor/fzaninotto/faker/src/Faker/Provider/ru_RU/Text.php 391.2 kB
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Code/Chapter 8/B05196_Ch08_Code/laravel/vendor/fzaninotto/faker/src/Faker/Provider/ka_GE/Text.php 390.8 kB
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【压缩文件】 [FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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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

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

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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

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learning Angular - Creating and Hosting a Full-Stack Site.zip

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[ FreeCourseWeb.com ] Udemy - Learning Angular - Creating and Hosting a Full-Stack Site.zip 819.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning and Blockchain with Microsoft Azure.zip

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【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

收录时间:2021-03-22 文档个数:78 文档大小:1.2 GB 最近下载:2025-03-09 人气:71 磁力链接

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

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【影视】 [FreeCoursesOnline.Me] [Packt] Troubleshooting Python Deep Learning [FCO]

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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

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning for Computer Vision with Tensor Flow and Keras.zip

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[ FreeCourseWeb.com ] Udemy - Deep Learning for Computer Vision with Tensor Flow and Keras.zip 5.4 GB

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【压缩文件】 [FTUForum.com] [UDEMY] Master Computer Vision™ OpenCV4 in Python with Deep Learning [FTU]

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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
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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
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5 - 4. Operators and Control Structures/26 - Conditionals - If.mp4 17.3 MB
6 - 5. Iterating with Loops/31 - For loops - Sequential.mp4 15.0 MB
4 - 3. Objects, Arrays, and More/22 - Regular expressions.mp4 14.9 MB
7 - 6. Functions/36 - More on arguments.mp4 14.4 MB
7 - 6. Functions/37 - Objects, references, and functions.mp4 14.1 MB
6 - 5. Iterating with Loops/33 - While loops.mp4 14.0 MB
5 - 4. Operators and Control Structures/28 - Terse ifs.mp4 13.3 MB
4 - 3. Objects, Arrays, and More/19 - Manipulating arrays.mp4 13.1 MB
5 - 4. Operators and Control Structures/30 - Type checking.mp4 12.5 MB
3 - 2. Variables and Types/09 - Declaring and assigning variables.mp4 12.4 MB
5 - 4. Operators and Control Structures/25 - Logical operators.mp4 12.2 MB
4 - 3. Objects, Arrays, and More/18 - Arrays.mp4 11.6 MB
2 - 1. Getting Started/07 - Our friend the text editor.mp4 11.3 MB
5 - 4. Operators and Control Structures/24 - Arithmetic operators.mp4 11.0 MB
6 - 5. Iterating with Loops/32 - For loops - Enumerative.mp4 10.8 MB
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5 - 4. Operators and Control Structures/27 - Conditionals - Switch.mp4 10.1 MB
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