- 【影视】 [Udemy] Ускоренный курс PyTorch (2021)
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5. Градиентный спуск вручную.mp4 268.3 MB
7. Пакетное обучение.mp4 220.4 MB
6. Пайплайн.mp4 181.9 MB
3. Градиент.mp4 181.6 MB
2. Тензор.mp4 27.0 MB
1. Установка, проверка фреймворка.mp4 16.2 MB
4. Обратное распространение ошибки.mp4 11.8 MB
Доп Ускоренный курс PyTorch/tensor.ipynb 22.1 kB
Доп Ускоренный курс PyTorch/wine.csv 11.2 kB
Доп Ускоренный курс PyTorch/batch-learning.ipynb 5.9 kB
Доп Ускоренный курс PyTorch/gradient.ipynb 5.9 kB
Доп Ускоренный курс PyTorch/gradient-descent-manual.ipynb 5.4 kB
Доп Ускоренный курс PyTorch/gradient-descent-automatic.ipynb 4.5 kB
Доп Ускоренный курс PyTorch/pipeline.ipynb 3.0 kB
Доп Ускоренный курс PyTorch/installation.ipynb 1.5 kB
Доп Ускоренный курс PyTorch/Ссылка.txt 42 Bytes
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[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part1.rar 7.5 GB
[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part2.rar 7.5 GB
[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part3.rar 7.5 GB
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[FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence.part1.rar 4.3 GB
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- 【压缩文件】 Pytorch for Deep Learning and Computer Vision
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Pytorch for Deep Learning and Computer Vision.zip 746.1 MB
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- 【影视】 PyTorch-Deep Learning and Artificial Intelligence [updated]
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[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 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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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
lesson253.mp4 122.5 MB
lesson246.mp4 122.0 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
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lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
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[ FreeCourseWeb.com ] Udemy - PyTorch Tutorial - Neural Networks & Deep Learning in Python.zip 3.1 GB
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[ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip 2.6 GB
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8. Pneumonia-Classification/7. Interpretability.mp4 128.1 MB
5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 106.9 MB
1. Introduction/2. Installation and Environment Setup.mp4 103.9 MB
5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 102.6 MB
5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 101.2 MB
9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 100.3 MB
5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 97.5 MB
7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 93.3 MB
5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 91.8 MB
8. Pneumonia-Classification/2. Preprocessing.mp4 90.2 MB
8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 86.8 MB
3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 86.5 MB
5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 82.0 MB
5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 75.8 MB
8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 73.2 MB
9. Cardiac-Detection/2. 02-Preprocessing.mp4 70.1 MB
4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 70.1 MB
7. Data Formats in Medical Imaging/6. Preprocessing.mp4 68.2 MB
10. Atrium-Segmentation/6. UNet.mp4 67.6 MB
10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 66.5 MB
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[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery 31.9 GB
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Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 292.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/031 Analyzing the Paper.mp4 191.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/038 Consolidating Our Code Base for Maximum Extensability.mp4 176.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/033 Analyzing the Paper.mp4 140.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/009 Temporal Difference Learning.mp4 135.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 110.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/003 How to Succeed in this Course.mp4 110.3 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/019 How to Modify the OpenAI Gym Atari Environments.mp4 85.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/030 Coding the Deep Q Agent Step 5 - The Main Loop and Analyzing the Performance.mp4 76.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/035 Coding the Dueling Deep Q Learning Agent and Analyzing Performance.mp4 74.0 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/025 How to Code the Deep Q Network.mp4 69.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/024 How to Code the Agents Memory.mp4 64.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/005 Markov Decision Processes.mp4 63.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 63.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/032 Coding the Double Q Learning Agent and Analyzing Performance.mp4 61.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/004 Agents Environments and Actions.mp4 60.6 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/037 Implementing a Command Line Interface for Rapid Model Testing.mp4 59.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/017 How to Read Deep Learning Papers.mp4 52.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/006 Value Functions Action Value Functions and the Bellman Equation.mp4 49.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/013 Naive Deep Q Learning in Code Step 3 - Coding the Main Loop and Learning.mp4 48.0 MB
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[GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning.part1.rar 8.6 GB
[GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning.part2.rar 7.4 GB
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[ FreeCourseWeb.com ] PluralSight - Image Classification with PyTorch.zip 515.3 MB
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18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4.!qB 175.5 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4.!qB 158.0 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4.!qB 88.7 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4.!qB 72.9 MB
8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4.!qB 72.6 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4.!qB 68.1 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4.!qB 62.4 MB
16. In-Depth Gradient Descent/5. Adam (pt 1).mp4.!qB 57.9 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4.!qB 56.0 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4.!qB 54.8 MB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.mp4.!qB 51.2 MB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.mp4.!qB 45.7 MB
3. Machine Learning and Neurons/16. Train Sets vs. Validation Sets vs. Test Sets.mp4.!qB 44.5 MB
5. Convolutional Neural Networks/9. CNN for Fashion MNIST.mp4.!qB 42.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4.!qB 40.1 MB
1. Introduction/1. Welcome.mp4.!qB 37.5 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4.!qB 34.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).mp4.!qB 33.8 MB
7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.mp4.!qB 32.9 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4.!qB 30.2 MB
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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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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
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21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
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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
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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
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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
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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
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11. PyTorch Model Deployment/56. Deploying Food Vision Big to Hugging Face Spaces.mp4 170.4 MB
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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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[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/006 Train model_ train dataset.mp4 368.5 MB
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[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/012 Practical view of training a Neural Network.mp4 218.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/011 Mathematical view of training a Neural Network.mp4 216.4 MB
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[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/013 Train with batches.mp4 133.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/009 Practical advices about training.mp4 106.9 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/001 Practical example presentation.mp4 94.5 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/005 Type of Neural Networks models.mp4 87.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/001 Introduction.mp4 83.7 MB
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