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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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【影视】 PyTorch-Deep Learning and Artificial Intelligence [updated]

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PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
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
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
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
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
PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
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
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 MB

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【影视】 [FreeTutorials.Us] Udemy - practical-deep-learning-with-pytorch

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01 Introduction/001 Introduction.mp4 11.9 MB
01 Introduction/001 Introduction-subtitle-en.vtt 6.4 kB
01 Introduction/links-to-visit.txt 92 Bytes
02 Software Requirements/002 CPU Software Requirements.mp4 7.7 MB
02 Software Requirements/002 CPU Software Requirements-subtitle-en.vtt 3.2 kB
02 Software Requirements/003 CPU Installation of PyTorch.mp4 5.0 MB
02 Software Requirements/003 CPU Installation of PyTorch-subtitle-en.vtt 2.3 kB
02 Software Requirements/004 PyTorch with GPU on AWS.mp4 25.3 MB
02 Software Requirements/004 PyTorch with GPU on AWS-subtitle-en.vtt 10.5 kB
02 Software Requirements/005 PyTorch with GPU on Linux.mp4 12.1 MB
02 Software Requirements/005 PyTorch with GPU on Linux-subtitle-en.vtt 4.8 kB
02 Software Requirements/006 PyTorch with GPU on MacOSX.mp4 13.0 MB
02 Software Requirements/006 PyTorch with GPU on MacOSX-subtitle-en.vtt 5.3 kB
02 Software Requirements/links-to-visit.txt 370 Bytes
03 PyTorch Fundamentals_ Matrices/007 Matrix Basics.mp4 7.2 MB
03 PyTorch Fundamentals_ Matrices/007 Matrix Basics-subtitle-en.vtt 3.7 kB
03 PyTorch Fundamentals_ Matrices/008 Seed for Reproducibility.mp4 8.9 MB
03 PyTorch Fundamentals_ Matrices/008 Seed for Reproducibility-subtitle-en.vtt 4.4 kB
03 PyTorch Fundamentals_ Matrices/009 Torch to NumPy Bridge.mp4 14.1 MB
03 PyTorch Fundamentals_ Matrices/009 Torch to NumPy Bridge-subtitle-en.vtt 6.2 kB

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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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【其他】 [Tutorialsplanet.NET] Udemy - PyTorch Deep Learning and Artificial Intelligence

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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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Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/01. Origins Of PyTorch V2-0eLXNFv6aT8.mp4 31.5 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. PyTorch - Part 8-S9F7MtJ5jls.mp4 30.9 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/04. Hybrid Frontend And JIT Compiler-J4z-P8yUZu4.mp4 24.0 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp4 22.3 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/03. From Research To Production-eCysOAw8azs.mp4 21.8 MB
Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers-RnM1D-XI--8.mp4 20.8 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp4 19.7 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp4 19.4 MB
Part 01-Module 01-Lesson 07_Recurrent Neural Networks/20. 07 CharRNN Solution V1-ed33qePHrJM.mp4 19.2 MB
Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp4 18.6 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/08. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp4 17.5 MB
Part 01-Module 01-Lesson 07_Recurrent Neural Networks/17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4 17.2 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/05. Cutting-Edge Applicationns In PyTorch-s8p6vqOubqw.mp4 16.6 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp4 16.6 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. PyTorch - Part 6-3ZJfo2bR-uw.mp4 16.6 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/06. User Needs And Adding Features-7HH65_c7Acw.mp4 16.5 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp4 16.4 MB
Part 01-Module 01-Lesson 07_Recurrent Neural Networks/12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp4 16.2 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. PyTorch - Part 7-hFu7GTfRWks.mp4 15.9 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/08. The Future Of PyTorch-vfCg3FoOjE4.mp4 15.2 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
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson72.mp4 108.3 MB
lesson315.mp4 107.1 MB
lesson52.mp4 104.3 MB
lesson169.mp4 103.3 MB
lesson201.mp4 103.1 MB
lesson239.mp4 102.9 MB
lesson117.mp4 99.9 MB

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~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1. CycleGAN from Scratch with PyTorch.mp4 835.4 MB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/2. Full Implementation WGAN with Gradient_Penalty from Scratch with PyTorch.mp4 555.0 MB
~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/2. 2-Full Implementations - DCGAN from Scratch With TensforFlow CelebA_Dataset.mp4 492.5 MB
~Get Your Files Here !/2. BiCycleGAN from Scratch with PyTorch/2. Full Implementation - BiCycleGAN from Scratch with PyTorch.mp4 478.5 MB
~Get Your Files Here !/4. DCGAN From Scratch with PyTorch/1. DCGAN From Scratch with PyTorch.mp4 335.8 MB
~Get Your Files Here !/1. Conditional GAN From Scratch with PyTorch/2. Full Implementation - Conditional GAN From Scratch with PyTorch.mp4 326.4 MB
~Get Your Files Here !/5. CycleGAN Paper Architecture Explanations/1. CycleGAN Paper Architecture Explanations.mp4 309.2 MB
~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/3. 3 Conv2dTranspose Explanations for DCGAN's Generator Function Filter-Kernel_Size.mp4 279.0 MB
~Get Your Files Here !/8. WGAN Without Gradient Penalty from Scratch with PyTorch/1. WGAN Without Gradient Penalty from Scratch with PyTorch.mp4 250.2 MB
~Get Your Files Here !/7. WGAN Architecture Paper Explanation/1. WGAN Architecture Paper Explanation.mp4 123.1 MB
~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/1. 1-Introduction DCGAN with TensorFlow.mp4 27.0 MB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/1. Introduction WGAN with Gradient_Penalty from Scratch with PyTorch.mp4 10.7 MB
~Get Your Files Here !/1. Conditional GAN From Scratch with PyTorch/1. Conditional GAN Introduction - from Scratch with PyTorch.mp4 5.1 MB
~Get Your Files Here !/2. BiCycleGAN from Scratch with PyTorch/1. Introduction BiCycleGAN from Scratch with PyTorch.mp4 4.0 MB
~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1.1 CycleGAN_From_Scratch_PyTorch_FINAL_Entire_NB.ipynb 2.0 MB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/SOURCE-CODE-ALL-FILES/CODE_CycleGAN_From_Scratch_PyTorch/CycleGAN_From_Scratch_PyTorch_FINAL_Entire_NB.ipynb 2.0 MB
~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/2.1 DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb 177.3 kB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/SOURCE-CODE-ALL-FILES/CODE-DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb 177.3 kB
~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1. CycleGAN from Scratch with PyTorch.srt 137.3 kB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/2. Full Implementation WGAN with Gradient_Penalty from Scratch with PyTorch.srt 103.4 kB

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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

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【压缩文件】 Modern Deep Convolutional Neural Networks with PyTorch

收录时间:2022-01-09 文档个数:5 文档大小:707.0 MB 最近下载:2025-05-16 人气:1696 磁力链接

Modern Deep Convolutional Neural Networks with PyTorch.zip 707.0 MB
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