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【影视】 [FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence

收录时间:2023-12-25 文档个数:327 文档大小:8.5 GB 最近下载:2025-08-09 人气:7371 磁力链接

• 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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【压缩文件】 [FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery

收录时间:2023-02-04 文档个数:4 文档大小:28.7 GB 最近下载:2025-08-08 人气:7197 磁力链接

• [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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【影视】 [FreeCoursesOnline.Me] Linkedin - PyTorch Essential Training Deep Learning

收录时间:2020-02-01 文档个数:39 文档大小:253.2 MB 最近下载:2025-08-06 人气:7186 磁力链接

• 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
• Exercise Files/Ex_Files_PyTorch_EssT_DL.zip 53.1 kB
• 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

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【影视】 Formacao.Deep.Learning.com.Pytorch

收录时间:2022-05-26 文档个数:173 文档大小:4.3 GB 最近下载:2025-08-05 人气:7142 磁力链接

• 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】 [ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip

收录时间:2021-06-12 文档个数:1 文档大小:2.0 GB 最近下载:2025-08-07 人气:6809 磁力链接

• [ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip 2.0 GB

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【影视】 Deep Learning and Neural Networks in PyTorch for Beginners [Video]

收录时间:2020-03-10 文档个数:13 文档大小:390.2 MB 最近下载:2025-08-08 人气:6593 磁力链接

• 1.We got a lot to do - let's get into it!/12.12 Congratulation.mp4 89.0 MB
• 1.We got a lot to do - let's get into it!/07.7 A deep Neural Network in Pytorch 5.mp4 51.1 MB
• 1.We got a lot to do - let's get into it!/06.6 linear regression in pytorch.mp4 45.5 MB
• 1.We got a lot to do - let's get into it!/04.4 understanding gradient descent.mp4 42.0 MB
• 1.We got a lot to do - let's get into it!/11.11 Convolutional Neural Networks CNN in pytorch 3 Final Test.mp4 36.3 MB
• 1.We got a lot to do - let's get into it!/10.10 Convolutional Neural Networks CNN in pytorch 2.mp4 35.6 MB
• 1.We got a lot to do - let's get into it!/05.5 transition to pytorch.mp4 26.3 MB
• 1.We got a lot to do - let's get into it!/03.3 The fundamentals.mp4 18.9 MB
• 1.We got a lot to do - let's get into it!/09.9 Convolutional Neural Networks in pytorch 1.mp4 18.1 MB
• 1.We got a lot to do - let's get into it!/08.8 Convolutional Neural Networks basics.mp4 12.6 MB
• 1.We got a lot to do - let's get into it!/01.1 Why taking this course Because....mp4 11.1 MB
• 1.We got a lot to do - let's get into it!/02.2 How to install pytorch.mp4 3.5 MB
• Exercise Files/code_33915.zip 14.0 kB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip

收录时间:2020-02-29 文档个数:1 文档大小:707.4 MB 最近下载:2025-07-25 人气:6182 磁力链接

• [ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip 707.4 MB

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【影视】 GetFreeCourses.Co-Udemy-Deep Learning with PyTorch for Medical Image Analysis

收录时间:2022-01-08 文档个数:92 文档大小:3.9 GB 最近下载:2025-08-06 人气:6181 磁力链接

• 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】 [GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning

收录时间:2023-03-06 文档个数:2 文档大小:15.9 GB 最近下载:2025-08-04 人气:6167 磁力链接

• [GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning.part1.rar 8.6 GB
• [GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning.part2.rar 7.4 GB

猜你喜欢： Deep PyTorch GigaCourse Learning ZeroToMastery Com

【影视】 Modern Reinforcement Learning- Deep Q Learning in PyTorch

收录时间:2020-11-08 文档个数:87 文档大小:2.5 GB 最近下载:2025-08-06 人气:6030 磁力链接

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

收录时间:2021-05-31 文档个数:277 文档大小:7.8 GB 最近下载:2025-08-08 人气:5835 磁力链接

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

收录时间:2023-08-15 文档个数:26 文档大小:1.3 GB 最近下载:2025-08-08 人气:5765 磁力链接

• ~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】 PyTorch-Deep Learning and Artificial Intelligence [updated]

收录时间:2021-05-20 文档个数:279 文档大小:7.8 GB 最近下载:2025-08-07 人气:5012 磁力链接

• [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
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• [CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
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• ~Get Your Files Here !/2. BiCycleGAN from Scratch with PyTorch/2. Full Implementation - BiCycleGAN from Scratch with PyTorch.mp4 478.5 MB
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• ~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
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• lesson252.mp4 144.4 MB
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• ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/001 Data Science in Numpy - Part1 (Code).mp4 123.5 MB
• ~Get Your Files Here !/13 SupCon & SimCLR (Code)/002 Mocking SimCLR(Code).mp4 60.4 MB
• ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/005 CutMix (Code).mp4 57.2 MB
• ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/001 Image Search(Basic & Cluster).mp4 56.5 MB
• ~Get Your Files Here !/11 PEARL and NPILD (code)/001 NCE & Memory Bank (Code).mp4 55.8 MB
• ~Get Your Files Here !/03 Pytorch AutoGrad/001 Pytorch AutoGrad.mp4 47.1 MB
• ~Get Your Files Here !/13 SupCon & SimCLR (Code)/003 SimClr and Supervised Contrastive Learning (Code).mp4 47.0 MB
• ~Get Your Files Here !/11 PEARL and NPILD (code)/002 Network and Training NPILD & Pearl (Code).mp4 42.2 MB
• ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/001 Non-Parametric Instance-level Discrimination & Metric learning approach.mp4 41.2 MB
• ~Get Your Files Here !/01 Introduction/001 Why Should You Take This Course_.mp4 36.4 MB
• ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).mp4 34.1 MB
• ~Get Your Files Here !/04 Faiss & Image Search (Hands on)/003 Basic Image Search (Code).mp4 34.0 MB
• ~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/003 Data Science in Pytorch - Part 2(Code).mp4 34.0 MB
• ~Get Your Files Here !/13 SupCon & SimCLR (Code)/001 Supervised Contrastive Learning.mp4 32.5 MB
• ~Get Your Files Here !/01 Introduction/003 Applications.mp4 31.9 MB
• ~Get Your Files Here !/03 Pytorch AutoGrad/002 Custom CNN in Pytorch.mp4 31.7 MB
• ~Get Your Files Here !/10 PEARL/004 PEARL Results.mp4 31.7 MB
• ~Get Your Files Here !/15 Bonus Lectures/001 Vissl & Albumentations.mp4 31.6 MB
• ~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/006 RandAugment.mp4 30.2 MB
• ~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/008 Non Parametric Softmax (CrossEntropy) (Code).mp4 30.0 MB

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• 06 Logistic Regression with PyTorch/024 Logistic Regression with PyTorch.mp4 123.9 MB
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• 08 Convolutional Neural Network (CNN) with PyTorch/041 CNN in PyTorch.mp4 59.8 MB
• 09 Recurrent Neural Networks (RNN)/048 RNN in PyTorch.mp4 44.7 MB
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• 07 Feedforward Neural Network with PyTorch/030 More Feedforward Neural Network Models in PyTorch.mp4 42.7 MB
• 10 Long Short-Term Memory Networks (LSTM)/054 LSTM in PyTorch.mp4 39.8 MB
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• 08 Convolutional Neural Network (CNN) with PyTorch/034 One Convolutional Layer_ Input Depth of 1.mp4 29.9 MB
• 10 Long Short-Term Memory Networks (LSTM)/055 More LSTM Models in PyTorch.mp4 29.6 MB
• 06 Logistic Regression with PyTorch/023 Logistic Regression In-depth.mp4 26.2 MB
• 02 Software Requirements/004 PyTorch with GPU on AWS.mp4 25.3 MB
• 03 PyTorch Fundamentals_ Matrices/012 Basic Mathematical Tensor Operations.mp4 22.2 MB
• 08 Convolutional Neural Network (CNN) with PyTorch/039 Padding for Convolutional Layers.mp4 21.9 MB
• 06 Logistic Regression with PyTorch/025 Logistic Regression From CPU to GPU in PyTorch.mp4 21.7 MB
• 10 Long Short-Term Memory Networks (LSTM)/052 Introduction to LSTMs.mp4 21.0 MB
• 05 Linear Regression with PyTorch/019 Linear Regression From CPU to GPU in PyTorch.mp4 20.7 MB
• 09 Recurrent Neural Networks (RNN)/047 Introduction to RNN.mp4 20.1 MB
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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
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• ~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
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