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【影视】 GetFreeCourses.Co-Udemy-PyTorch for Deep Learning in 2023 Zero to Mastery

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5. PyTorch Computer Vision/22. Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 218.5 MB
10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4 200.1 MB
10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 197.9 MB
11. PyTorch Model Deployment/23. Creating a Function to Make and Time Predictions with Our Models.mp4 194.8 MB
11. PyTorch Model Deployment/49. Training Food Vision Big Our Biggest Model Yet!.mp4 193.2 MB
3. PyTorch Workflow/15. Reviewing the Steps in a Training Loop Step by Step.mp4 186.1 MB
6. PyTorch Custom Datasets/14. Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 184.8 MB
5. PyTorch Computer Vision/25. Mode 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 183.3 MB
10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 178.3 MB
6. PyTorch Custom Datasets/18. Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 174.4 MB
7. PyTorch Going Modular/9. Creating a Training Script to Train Our Model in One Line of Code.mp4 173.6 MB
10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 172.8 MB
10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 171.8 MB
5. PyTorch Computer Vision/23. Model 2 Breaking Down Conv2D Step by Step.mp4 170.6 MB
11. PyTorch Model Deployment/56. Deploying Food Vision Big to Hugging Face Spaces.mp4 170.4 MB
3. PyTorch Workflow/18. Reviewing What Happens in a Testing Loop Step by Step.mp4 169.4 MB
4. PyTorch Neural Network Classification/10. Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 168.9 MB
5. PyTorch Computer Vision/31. Making Predictions and Importing Libraries to Plot a Confusion Matrix.mp4 168.6 MB
8. PyTorch Transfer Learning/12. Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 168.5 MB
10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 168.4 MB

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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
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lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
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【影视】 GetFreeCourses.Co-Udemy-Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

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16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 161.2 MB
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 116.8 MB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB

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16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 161.2 MB
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 116.8 MB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB

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【压缩文件】 Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy

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02 Download Code and Setup Colab/1 Modern Computer Vision__2022-02-25.7z 120.8 MB
16 Visualizing What CNN's Learn/6 Filter and Class Maximization.mkv 3.4 MB
18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2 Loading Pre-Trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mkv 3.2 MB
09 OpenCV Projects/06 Neural Style Transfer with OpenCV.mkv 2.9 MB
26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5 DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mkv 2.7 MB
18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1 Implementing LeNet and AlexNet in Keras.mkv 2.7 MB
04 OpenCV - Image Segmentation/2 Moments, Sorting, Approximating and Matching Contours.mkv 2.7 MB
22 Google DeepStream and Neural Style Transfer/5 Neural Style Transfer in Keras.mkv 2.7 MB
21 Transfer Learning and Fine Tuning/4 Keras Feature Extraction.mkv 2.5 MB
04 OpenCV - Image Segmentation/1 Contours - Drawing, Hierarchy and Modes.mkv 2.4 MB
09 OpenCV Projects/03 OCR with PyTesseract and EasyOCR (Text Detection).mkv 2.4 MB
29 Gun Detector - Scaled-YOLOv4/1 Gun Detector - Scaled-YOLOv4.mkv 2.4 MB
18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3 Loading Pre-Trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mkv 2.4 MB
19 Using Callbacks in Keras and PyTorch/2 Cats vs Dogs Classifier Using Callbacks in PyTorch.mkv 2.3 MB
24 Generative Adversarial Networks (GANs)/5 Keras DCGAN with MNIST.mkv 2.2 MB
03 OpenCV - Image Operations/01 Getting Started with OpenCV4.mkv 2.2 MB
19 Using Callbacks in Keras and PyTorch/3 Cats vs Dogs Classifier Using Callbacks in Keras.mkv 2.2 MB
21 Transfer Learning and Fine Tuning/5 PyTorch Fine Tuning.mkv 2.2 MB
03 OpenCV - Image Operations/09 Thresholding, Binarization and Adaptive Thresholding.mkv 2.2 MB
16 Visualizing What CNN's Learn/3 Keras Filter Visualization and Activations.mkv 2.1 MB

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【文档书籍】 Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023

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Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023.epub 63.5 MB
Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023.pdf 30.8 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Modern Computer Vision and Deep Learning with Python and PyTorch

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【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning with Tensorflow and Pytorch (Tutorial Ongoing)

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~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
~Get Your Files Here !/1. Introduction/2. Quick Demo of whisper+gradio speech to text conversion!.mp4 17.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/2. Install Tensorflow and Pytorch- Steps.mp4 11.9 MB

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【影视】 [FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery

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[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery 31.9 GB

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19. Setting up your Environment (FAQ by Student Request)/3. Anaconda Environment Setup.mp4 365.3 MB
19. Setting up your Environment (FAQ by Student Request)/4. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 227.1 MB
19. Setting up your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 220.4 MB
8. Natural Language Processing (NLP)/7. Text Classification with LSTMs (V2).mp4 185.4 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 168.4 MB
21. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 157.1 MB
21. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 154.5 MB
5. Feedforward Artificial Neural Networks/9. ANN for Image Classification.mp4 149.3 MB
4. Machine Learning and Neurons/9. Classification Notebook.mp4 147.3 MB
9. Recommender Systems/3. Recommender Systems with Deep Learning Code (pt 1).mp4 133.7 MB
3. Google Colab/2. Uploading your own data to Google Colab.mp4 133.0 MB
4. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 132.8 MB
20. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Proof that using Jupyter Notebook is the same as not using it.mp4 124.8 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 115.8 MB
5. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4 108.9 MB
20. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code Yourself (part 1).mp4 108.7 MB
10. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4 104.8 MB
9. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4 101.7 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4 96.2 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 3).mp4 94.6 MB

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lesson1.mp4 137.5 MB
PyTorch for Deep Learning Zero to Mastery.txt 18.3 kB
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~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/07 - Validation and testing.mp4 11.1 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/04 - Automatic differentiation (Autograd).mp4 10.9 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/06 - Model development and training.mp4 10.4 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/01 - Tensor operations.mp4 10.1 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/03 - Linear algebra operations.mp4 8.5 MB
~Get Your Files Here !/04 - 3. Creating Tensors/01 - Different ways to create tensors.mp4 8.4 MB
~Get Your Files Here !/02 - 1. PyTorch Overview and Introduction to Google Colaboratory/01 - Introduction to deep learning.mp4 8.1 MB
~Get Your Files Here !/03 - 2. Tensors/01 - Introduction to tensors.mp4 6.6 MB
~Get Your Files Here !/04 - 3. Creating Tensors/03 - Tensor data types.mp4 6.5 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/05 - Data batching.mp4 6.4 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/02 - Mathematical functions.mp4 6.4 MB
~Get Your Files Here !/01 - Introduction/03 - Tour of CoderPad.mp4 6.1 MB
~Get Your Files Here !/02 - 1. PyTorch Overview and Introduction to Google Colaboratory/03 - Google Colaboratory basics.mp4 5.7 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/04 - Data transforms.mp4 5.7 MB
~Get Your Files Here !/04 - 3. Creating Tensors/04 - Creating tensors from random samples.mp4 5.5 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/03 - Data loading.mp4 5.2 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/01 - Introduction to the DL training process.mp4 4.8 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/05 - Solution Split tensors to form new tensors.mp4 4.7 MB
~Get Your Files Here !/04 - 3. Creating Tensors/06 - Solution Create tensors.mp4 4.6 MB
~Get Your Files Here !/04 - 3. Creating Tensors/02 - Tensor attributes.mp4 4.1 MB

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03 - Working with Classes and Tensors/01 - Classes.mp4 51.3 MB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 43.4 MB
02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 34.8 MB
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06 - Conclusion/01 - Future project ideas.mp4 15.1 MB
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