- 【其他】 [Tutorialsplanet.NET] Udemy - PyTorch Deep Learning and Artificial Intelligence
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收录时间:2024-03-04
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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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- 【影视】 [ CourseWikia.com ] PyTorch Essential Training - Deep Learning (2024)
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收录时间:2024-05-08
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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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- 【压缩文件】 Getting Started with NLP Deep Learning Using PyTorch and fastai (Gianni Rosa Gallina, 2019)
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收录时间:2024-05-31
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exercise.7z 663.6 MB
4. Building a TextTopic Classifier with Transfer Learning/2. Preparing the Data.mp4 26.2 MB
3. Setting up a Development Environment/2. Set up a Dev Environment for fastai 1.0.mp4 23.9 MB
4. Building a TextTopic Classifier with Transfer Learning/6. Training a Document Classifier with Transfer Learning.mp4 19.1 MB
4. Building a TextTopic Classifier with Transfer Learning/3. Introduction to Language Models.mp4 17.9 MB
4. Building a TextTopic Classifier with Transfer Learning/7. Discussing the Results and Summary.mp4 15.3 MB
4. Building a TextTopic Classifier with Transfer Learning/5. Finalizing Language Model Tuning and Testing.mp4 13.4 MB
4. Building a TextTopic Classifier with Transfer Learning/4. Language Model Fine-tuning.mp4 13.0 MB
6. Going from Prototype to Production/1. Introduction and Dev Environment Setup.mp4 11.6 MB
5. Using Deep Learning for NLP/10. Batch Data Loading.mp4 10.9 MB
7. Building a Custom Language Model from Scratch/2. Getting the Data.mp4 10.7 MB
6. Going from Prototype to Production/7. Deploy the Production Image.mp4 10.3 MB
4. Building a TextTopic Classifier with Transfer Learning/1. Module Overview.mp4 10.1 MB
6. Going from Prototype to Production/3. Scoring Script for Local Test.mp4 9.9 MB
7. Building a Custom Language Model from Scratch/3. Text Pre-processing.mp4 9.3 MB
5. Using Deep Learning for NLP/03. Introduction to ULMFiT.mp4 9.1 MB
5. Using Deep Learning for NLP/09. Text Pre-processing.mp4 8.3 MB
3. Setting up a Development Environment/3. Other Dev Environment Options.mp4 6.7 MB
5. Using Deep Learning for NLP/06. AWD-LSTM Language Model.mp4 6.3 MB
2. Exploring the fastai Library/2. Introducing the fastai Library.mp4 6.0 MB
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- 【压缩文件】 [FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery
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收录时间:2024-08-09
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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
[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part4.rar 6.2 GB
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- 【压缩文件】 [FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence
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[FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence.part1.rar 4.3 GB
[FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence.part2.rar 796.9 MB
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- 【影视】 Linkedin - PyTorch Essential Training Deep Learning
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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
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 15.5 MB
06 - Conclusion/01 - Future project ideas.mp4 15.1 MB
05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 12.0 MB
04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 11.3 MB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 11.1 MB
04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 10.5 MB
01 - Introduction/01 - Welcome.mp4 9.9 MB
04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 9.4 MB
05 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 8.1 MB
03 - Working with Classes and Tensors/02 - Tensors.mp4 7.6 MB
03 - Working with Classes and Tensors/03 - Training the network.mp4 5.9 MB
01 - Introduction/02 - What you should know before watching this course.mp4 4.0 MB
04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 3.0 MB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt 9.3 kB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt 9.1 kB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt 8.5 kB
05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.srt 7.8 kB
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- 【影视】 [CourseClub.Me] ZeroToMastery - PyTorch for Deep Learning
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lesson187.mp4 125.5 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson169.mp4 103.3 MB
lesson239.mp4 102.9 MB
lesson117.mp4 99.9 MB
lesson217.mp4 97.7 MB
lesson49.mp4 97.7 MB
lesson170.mp4 95.9 MB
lesson182.mp4 94.8 MB
lesson305.mp4 93.8 MB
lesson125.mp4 93.1 MB
lesson142.mp4 90.9 MB
lesson233.mp4 86.5 MB
lesson236.mp4 85.7 MB
lesson254.mp4 84.1 MB
lesson308.mp4 82.6 MB
lesson234.mp4 82.5 MB
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- 【影视】 Udemy - PyTorch Deep Learning and Artificial Intelligence (12.2024)
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最近下载:2025-08-08
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19 - Setting up your Environment (FAQ by Student Request)/3 -Anaconda Environment Setup.mp4 189.6 MB
19 - Setting up your Environment (FAQ by Student Request)/4 -Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
19 - Setting up your Environment (FAQ by Student Request)/2 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
8 - Natural Language Processing (NLP)/7 -Text Classification with LSTMs (V2).mp4 122.9 MB
7 - Recurrent Neural Networks, Time Series, and Sequence Data/1 -Sequence Data.mp4 119.7 MB
21 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
5 - Feedforward Artificial Neural Networks/9 -ANN for Image Classification.mp4 111.5 MB
21 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
12 - Deep Reinforcement Learning (Theory)/2 -Elements of a Reinforcement Learning Problem.mp4 110.1 MB
7 - Recurrent Neural Networks, Time Series, and Sequence Data/5 -Recurrent Neural Networks.mp4 97.1 MB
11 - GANs (Generative Adversarial Networks)/1 -GAN Theory.mp4 96.5 MB
3 - Google Colab/2 -Uploading your own data to Google Colab.mp4 94.9 MB
6 - Convolutional Neural Networks/5 -CNN Architecture.mp4 93.8 MB
5 - Feedforward Artificial Neural Networks/4 -Activation Functions.mp4 93.6 MB
7 - Recurrent Neural Networks, Time Series, and Sequence Data/11 -A More Challenging Sequence.mp4 91.4 MB
7 - Recurrent Neural Networks, Time Series, and Sequence Data/3 -Autoregressive Linear Model for Time Series Prediction.mp4 85.2 MB
5 - Feedforward Artificial Neural Networks/10 -ANN for Regression.mp4 84.0 MB
6 - Convolutional Neural Networks/6 -CNN Code Preparation (part 1).mp4 83.8 MB
7 - Recurrent Neural Networks, Time Series, and Sequence Data/9 -GRU and LSTM (pt 1).mp4 83.7 MB
21 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
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- 【影视】 ZeroToMastery - PyTorch for Deep Learning Bootcamp Zero to Mastery (4.2025)
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ZeroToMastery - PyTorch for Deep Learning Bootcamp Zero to Mastery (4.2025) 19.8 GB
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- 【压缩文件】 Udemy - PyTorch for Deep Learning with Python Bootcamp (9.2019)
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文档个数:209
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最近下载:2025-08-06
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1. Course Overview, Installs, and Setup/1.1 PYTORCH_NOTEBOOKS.zip.zip 205.5 MB
1. Course Overview, Installs, and Setup/2.1 PYTORCH_NOTEBOOKS.zip.zip 205.5 MB
8. CNN - Convolutional Neural Networks/17. Loading Real Image Data - Part Two.mp4 172.2 MB
7. ANN - Artificial Neural Networks/16. Full ANN Code Along - Regression - Part One - Feature Engineering.mp4 169.5 MB
8. CNN - Convolutional Neural Networks/18. CNN on Custom Images - Part One - Loading Data.mp4 166.6 MB
7. ANN - Artificial Neural Networks/10. Linear Regression with PyTorch - Part Two.mp4 157.1 MB
8. CNN - Convolutional Neural Networks/15. CIFAR-10 DataSet with CNN - Code Along - Part Two.mp4 153.4 MB
9. Recurrent Neural Networks/10. RNN on a Time Series - Part Two.mp4 147.5 MB
9. Recurrent Neural Networks/8. Basic RNN - Training and Forecasting.mp4 143.3 MB
7. ANN - Artificial Neural Networks/22. ANN - Exercise Solutions.mp4 142.4 MB
7. ANN - Artificial Neural Networks/17. Full ANN Code Along - Regression - Part 2 - Categorical and Continuous Features.mp4 135.5 MB
8. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 128.9 MB
7. ANN - Artificial Neural Networks/19. Full ANN Code Along - Regression - Part Four - Training and Evaluation.mp4 122.9 MB
8. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 122.4 MB
1. Course Overview, Installs, and Setup/2. Installation and Environment Setup.mp4 121.6 MB
7. ANN - Artificial Neural Networks/18. Full ANN Code Along - Regression - Part Three - Tabular Model.mp4 120.6 MB
10. Using a GPU with PyTorch and CUDA/2. Using GPU for PyTorch.mp4 119.6 MB
11. NLP with PyTorch/2. Encoding Text Data.mp4 114.7 MB
7. ANN - Artificial Neural Networks/11. DataSets with PyTorch.mp4 114.4 MB
8. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 110.6 MB
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收录时间:2025-07-24
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5 - computer vision (Open CV With Python)/19 -Image Segmentation Using openCV.mp4 690.3 MB
6 - PyTorch/16 -CNN Training Using a Custom Dataset.mp4 561.3 MB
2 - Python Prerequisites/36 -Pandas-DataFrame And Series.mp4 558.5 MB
2 - Python Prerequisites/35 -Numpy In Python.mp4 545.7 MB
2 - Python Prerequisites/37 -Data Manipulation With Pandas And Numpy.mp4 468.7 MB
5 - computer vision (Open CV With Python)/20 -Haar Cascade for face detection.mp4 440.3 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/6 -Vanishing Gradient Problem and Sigmoid.mp4 418.6 MB
2 - Python Prerequisites/11 -Sets In Python.mp4 412.7 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/3 -ANN intuition and Working.mov.mp4 405.2 MB
2 - Python Prerequisites/8 -Loops In Python.mp4 395.2 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/4 -Back Propogation and Weight Updation.mp4 377.4 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/17 -Loss Function Classification Problem.mp4 375.4 MB
6 - PyTorch/12 -Create Linear Regression model with Pytorch components.mp4 370.6 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/1 -Perceptron Intuition.mp4 342.8 MB
11 - Image Segmentation/5 -Fully Convolutional Networks (FCNs).mp4 340.8 MB
10 - Basics of Object Detection/11 -Custom Object Detection with YOLOv11.mp4 322.3 MB
2 - Python Prerequisites/7 -Conditional Statements(if,elif,else).mp4 322.0 MB
6 - PyTorch/22 -Implementing gradio app inference backend.mp4 321.8 MB
2 - Python Prerequisites/12 -Dictionaries In Python.mp4 313.3 MB
2 - Python Prerequisites/9 -List and List Comprehension In Python.mp4 300.9 MB
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