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- 【压缩文件】 [ FreeCourseWeb.com ] Packt - Hands-On TensorBoard for PyTorch Developers.zip
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[ FreeCourseWeb.com ] Packt - Hands-On TensorBoard for PyTorch Developers.zip 443.8 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Packt - PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications.zip
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[ FreeCourseWeb.com ] Packt - PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications.zip 5.0 GB
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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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- 【影视】 [Tutorialsplanet.NET] Udemy - PyTorch Deep Learning and Artificial Intelligence
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18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4 189.5 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 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 158.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.5 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
1. Introduction/2. Overview and Outline.mp4 83.5 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.7 MB
3. Machine Learning and Neurons/10. Classification Notebook.mp4 82.1 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】 Convolutional Neural Networks with Pytorch
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[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/004 Create Convolutional Neural Network model.mp4 653.3 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/002 Load datase.mp4 497.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/008 Analize model on test dataset and metrics.mp4 404.8 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/006 Train model_ train dataset.mp4 368.5 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/007 Train model_ validation dataset.mp4 346.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/007 Overview of Convolutional Layer.mp4 338.8 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/003 Visualize data.mp4 228.0 MB
[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
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/004 Mathematical view of General Neural Networks.mp4 157.2 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/002 What is a Neural Network_.mp4 153.7 MB
[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
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/009 Overview of Fully Connected Layer.mp4 77.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/010 Typical Convolutional Neural Network architecture.mp4 72.1 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/01 What is a Convolutional Neural Network_/008 Overview of Pooling Layer.mp4 69.4 MB
[TutsNode.com] - Convolutional Neural Networks with Pytorch/02 Convolutional Neural Networks with Pytorch/005 Define cost function and optimizer.mp4 69.0 MB
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- 【压缩文件】 Modern Deep Convolutional Neural Networks with PyTorch
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收录时间:2022-01-09
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Modern Deep Convolutional Neural Networks with PyTorch.zip 707.0 MB
Download more courses.url 123 Bytes
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- 【影视】 [ DevCourseWeb.com ] Udemy - Introduction to Generative Adversarial Networks with PyTorch
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~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.mp4 323.0 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.mp4 271.2 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.mp4 233.9 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.mp4 159.2 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/9. [Coding Exercise] GAN Evaluation Metrics Inception Score.mp4 134.1 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/7. Implement Vanilla GAN on MNIST Dataset to Generate Digits.mp4 129.2 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/10. [Coding Exercise] GAN Evaluation Metrics FID Score.mp4 126.4 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/7. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.mp4 125.7 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/7. [Coding Exercise] Hands-on CycleGAN.mp4 118.4 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/9. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.mp4 102.6 MB
~Get Your Files Here !/1. Course Agenda/1. Course Agenda.mp4 96.0 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.mp4 93.9 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.mp4 80.2 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.mp4 73.7 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.mp4 70.3 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.mp4 67.0 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.mp4 44.0 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.mp4 35.5 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/4. PyTorch Autograd Mechanism.mp4 32.5 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/5. Working of Wasserstein Loss Function.mp4 32.2 MB
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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
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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
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Доп Ускоренный курс PyTorch/Ссылка.txt 42 Bytes
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[ FreeCourseWeb.com ] Udemy - PyTorch Tutorial - Neural Networks & Deep Learning in Python.zip 3.1 GB
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~Get Your Files Here !/8. Pneumonia-Classification/7. Interpretability.mp4 128.1 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 106.9 MB
~Get Your Files Here !/1. Introduction/2. Installation and Environment Setup.mp4 103.9 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 102.6 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 101.2 MB
~Get Your Files Here !/9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 100.3 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 97.5 MB
~Get Your Files Here !/7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 93.3 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 91.8 MB
~Get Your Files Here !/8. Pneumonia-Classification/2. Preprocessing.mp4 90.2 MB
~Get Your Files Here !/8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 86.8 MB
~Get Your Files Here !/3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 86.5 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 82.0 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 75.8 MB
~Get Your Files Here !/8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 73.2 MB
~Get Your Files Here !/9. Cardiac-Detection/2. 02-Preprocessing.mp4 70.1 MB
~Get Your Files Here !/4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 70.1 MB
~Get Your Files Here !/7. Data Formats in Medical Imaging/6. Preprocessing.mp4 68.2 MB
~Get Your Files Here !/10. Atrium-Segmentation/6. UNet.mp4 67.6 MB
~Get Your Files Here !/10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 66.5 MB
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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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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip
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[ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip 707.4 MB
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5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/19.Building and Training Style Transfer Model.mp4 72.6 MB
4.Making Friends - Lost in Translation with LSTM/15.Building, Training, and Testing Your Models for Language Translation.mp4 67.5 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/05.Quick Win - Using a Pretrained AlexNet Model for Beaver Detection.mp4 58.4 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/11.Building, Training, and Testing Your Model for Language Detection.mp4 56.2 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/07.Building, Training, and Testing Your Model.mp4 46.3 MB
4.Making Friends - Lost in Translation with LSTM/14.Understanding and Preparing Dataset for Language Translation.mp4 36.4 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/08.Using Your Model to Detect Beavers and What’s Next.mp4 36.3 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/06.Getting and Preparing Image Data.mp4 29.3 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/10.Understanding and Preparing Language Data.mp4 29.1 MB
5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/18.Preparing Images for Style Transfer.mp4 24.7 MB
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Exercise Files/code_35298.zip 162 Bytes
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