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【影视】 Linkedin - PyTorch Essential Training Deep Learning
收录时间:2024-11-02 文档个数:38 文档大小:253.1 MB 最近下载:2025-08-06 人气:170 磁力链接
  • mp403 - Working with Classes and Tensors/01 - Classes.mp4 51.3 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 43.4 MB
  • mp402 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 34.8 MB
  • mp405 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 15.5 MB
  • mp406 - Conclusion/01 - Future project ideas.mp4 15.1 MB
  • mp405 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 12.0 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 11.3 MB
  • mp402 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 11.1 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 10.5 MB
  • mp401 - Introduction/01 - Welcome.mp4 9.9 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 9.4 MB
  • mp405 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 8.1 MB
  • mp403 - Working with Classes and Tensors/02 - Tensors.mp4 7.6 MB
  • mp403 - Working with Classes and Tensors/03 - Training the network.mp4 5.9 MB
  • mp401 - Introduction/02 - What you should know before watching this course.mp4 4.0 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 3.0 MB
  • srt05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt 9.3 kB
  • srt02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt 9.1 kB
  • srt04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt 8.5 kB
  • srt05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.srt 7.8 kB
【影视】 [CourseClub.Me] ZeroToMastery - PyTorch for Deep Learning
收录时间:2024-11-10 文档个数:205 文档大小:7.3 GB 最近下载:2025-08-07 人气:99 磁力链接
  • mp4lesson187.mp4 125.5 MB
  • mp4lesson289.mp4 121.1 MB
  • mp4lesson116.mp4 120.0 MB
  • mp4lesson260.mp4 110.0 MB
  • mp4lesson232.mp4 108.9 MB
  • mp4lesson169.mp4 103.3 MB
  • mp4lesson239.mp4 102.9 MB
  • mp4lesson117.mp4 99.9 MB
  • mp4lesson217.mp4 97.7 MB
  • mp4lesson49.mp4 97.7 MB
  • mp4lesson170.mp4 95.9 MB
  • mp4lesson182.mp4 94.8 MB
  • mp4lesson305.mp4 93.8 MB
  • mp4lesson125.mp4 93.1 MB
  • mp4lesson142.mp4 90.9 MB
  • mp4lesson233.mp4 86.5 MB
  • mp4lesson236.mp4 85.7 MB
  • mp4lesson254.mp4 84.1 MB
  • mp4lesson308.mp4 82.6 MB
  • mp4lesson234.mp4 82.5 MB
【影视】 Udemy - PyTorch Deep Learning and Artificial Intelligence (12.2024)
收录时间:2025-07-07 文档个数:306 文档大小:8.4 GB 最近下载:2025-08-07 人气:143 磁力链接
  • mp419 - Setting up your Environment (FAQ by Student Request)/3 -Anaconda Environment Setup.mp4 189.6 MB
  • mp419 - Setting up your Environment (FAQ by Student Request)/4 -Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
  • mp419 - Setting up your Environment (FAQ by Student Request)/2 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
  • mp48 - Natural Language Processing (NLP)/7 -Text Classification with LSTMs (V2).mp4 122.9 MB
  • mp47 - Recurrent Neural Networks, Time Series, and Sequence Data/1 -Sequence Data.mp4 119.7 MB
  • mp421 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • mp45 - Feedforward Artificial Neural Networks/9 -ANN for Image Classification.mp4 111.5 MB
  • mp421 - 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
  • mp412 - Deep Reinforcement Learning (Theory)/2 -Elements of a Reinforcement Learning Problem.mp4 110.1 MB
  • mp47 - Recurrent Neural Networks, Time Series, and Sequence Data/5 -Recurrent Neural Networks.mp4 97.1 MB
  • mp411 - GANs (Generative Adversarial Networks)/1 -GAN Theory.mp4 96.5 MB
  • mp43 - Google Colab/2 -Uploading your own data to Google Colab.mp4 94.9 MB
  • mp46 - Convolutional Neural Networks/5 -CNN Architecture.mp4 93.8 MB
  • mp45 - Feedforward Artificial Neural Networks/4 -Activation Functions.mp4 93.6 MB
  • mp47 - Recurrent Neural Networks, Time Series, and Sequence Data/11 -A More Challenging Sequence.mp4 91.4 MB
  • mp47 - Recurrent Neural Networks, Time Series, and Sequence Data/3 -Autoregressive Linear Model for Time Series Prediction.mp4 85.2 MB
  • mp45 - Feedforward Artificial Neural Networks/10 -ANN for Regression.mp4 84.0 MB
  • mp46 - Convolutional Neural Networks/6 -CNN Code Preparation (part 1).mp4 83.8 MB
  • mp47 - Recurrent Neural Networks, Time Series, and Sequence Data/9 -GRU and LSTM (pt 1).mp4 83.7 MB
  • mp421 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
【影视】 ZeroToMastery - PyTorch for Deep Learning Bootcamp Zero to Mastery (4.2025)
收录时间:2025-07-08 文档个数:1 文档大小:19.8 GB 最近下载:2025-08-08 人气:102 磁力链接
  • 2025)ZeroToMastery - PyTorch for Deep Learning Bootcamp Zero to Mastery (4.2025) 19.8 GB
【影视】 Udemy - Complete Computer Vision Bootcamp With PyTorch & Tensorflow (1.2025)
收录时间:2025-07-24 文档个数:303 文档大小:29.6 GB 最近下载:2025-08-08 人气:176 磁力链接
  • mp45 - computer vision (Open CV With Python)/19 -Image Segmentation Using openCV.mp4 690.3 MB
  • mp46 - PyTorch/16 -CNN Training Using a Custom Dataset.mp4 561.3 MB
  • mp42 - Python Prerequisites/36 -Pandas-DataFrame And Series.mp4 558.5 MB
  • mp42 - Python Prerequisites/35 -Numpy In Python.mp4 545.7 MB
  • mp42 - Python Prerequisites/37 -Data Manipulation With Pandas And Numpy.mp4 468.7 MB
  • mp45 - computer vision (Open CV With Python)/20 -Haar Cascade for face detection.mp4 440.3 MB
  • mp44 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/6 -Vanishing Gradient Problem and Sigmoid.mp4 418.6 MB
  • mp42 - Python Prerequisites/11 -Sets In Python.mp4 412.7 MB
  • mp44 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/3 -ANN intuition and Working.mov.mp4 405.2 MB
  • mp42 - Python Prerequisites/8 -Loops In Python.mp4 395.2 MB
  • mp44 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/4 -Back Propogation and Weight Updation.mp4 377.4 MB
  • mp44 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/17 -Loss Function Classification Problem.mp4 375.4 MB
  • mp46 - PyTorch/12 -Create Linear Regression model with Pytorch components.mp4 370.6 MB
  • mp44 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/1 -Perceptron Intuition.mp4 342.8 MB
  • mp411 - Image Segmentation/5 -Fully Convolutional Networks (FCNs).mp4 340.8 MB
  • mp410 - Basics of Object Detection/11 -Custom Object Detection with YOLOv11.mp4 322.3 MB
  • mp42 - Python Prerequisites/7 -Conditional Statements(if,elif,else).mp4 322.0 MB
  • mp46 - PyTorch/22 -Implementing gradio app inference backend.mp4 321.8 MB
  • mp42 - Python Prerequisites/12 -Dictionaries In Python.mp4 313.3 MB
  • mp42 - Python Prerequisites/9 -List and List Comprehension In Python.mp4 300.9 MB
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