[] Udemy - Convolutional Neural Networks Mastery - Deep Learning - CNN
- 收录时间:2021-07-24 22:12:50
- 文件大小:990MB
- 下载次数:1
- 最近下载:2021-07-24 22:12:50
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文件列表
- 3. AutoGrad in Pytorch/1. Autograd in Pytorch.mp4 137MB
- 4. Creating Deep Neural Networks in Pytorch/1. Building first neural network.mp4 97MB
- 5. CNN on Pytorch/3. CNN Recap.mp4 73MB
- 2. Introduction/1. Getting System Ready.mp4 63MB
- 5. CNN on Pytorch/1. Data Loading - CIFAR10.mp4 59MB
- 6. LeNet Architecture in Pytorch/2. LeNet Model in Pytorch.mp4 52MB
- 7. Bonus Access/2. Linear Algebra for Data Science.mp4 47MB
- 7. Bonus Access/3. Deep Learning Calculus.mp4 42MB
- 6. LeNet Architecture in Pytorch/3. Preparation & Evaluation.mp4 42MB
- 6. LeNet Architecture in Pytorch/1. LeNet Overview.mp4 41MB
- 7. Bonus Access/4. Deep Learning from Scratch using Tensorflow - Keras.mp4 38MB
- 2. Introduction/7. Pytorch on GPU.mp4 37MB
- 5. CNN on Pytorch/4. First CNN.mp4 32MB
- 5. CNN on Pytorch/5. CNN Deep layers.mp4 31MB
- 2. Introduction/2. Create Tensors in Pytorch.mp4 30MB
- 3. AutoGrad in Pytorch/2. Implementing Gradient Descent using Autograd.mp4 29MB
- 4. Creating Deep Neural Networks in Pytorch/3. Writing Custom NN module.mp4 25MB
- 2. Introduction/5. Numpy in Pytorch.mp4 24MB
- 2. Introduction/6. What is CUDA.mp4 17MB
- 1. Welcome Aboard/1. Why PyTorch is Powerful.mp4 17MB
- 4. Creating Deep Neural Networks in Pytorch/2. Writing Deep neural network.mp4 17MB
- 2. Introduction/3. Tensor Slicing and Reshape.mp4 15MB
- 5. CNN on Pytorch/2. Data Visualization.mp4 14MB
- 2. Introduction/4. Mathematical Operations on Tensors.mp4 9MB
- 6. LeNet Architecture in Pytorch/4.1 CNN_CIFAR10_Part_2.zip.zip 35KB
- 5. CNN on Pytorch/6.1 CNN_CIFAR10_Part_1.zip.zip 31KB
- 3. AutoGrad in Pytorch/1. Autograd in Pytorch.vtt 12KB
- 6. LeNet Architecture in Pytorch/2. LeNet Model in Pytorch.vtt 11KB
- 5. CNN on Pytorch/1. Data Loading - CIFAR10.vtt 10KB
- 2. Introduction/1. Getting System Ready.vtt 9KB
- 6. LeNet Architecture in Pytorch/3. Preparation & Evaluation.vtt 8KB
- 4. Creating Deep Neural Networks in Pytorch/1. Building first neural network.vtt 8KB
- 5. CNN on Pytorch/4. First CNN.vtt 7KB
- 5. CNN on Pytorch/5. CNN Deep layers.vtt 7KB
- 2. Introduction/7. Pytorch on GPU.vtt 7KB
- 2. Introduction/8.1 Section - Intro To Pytorch.zip.zip 7KB
- 4. Creating Deep Neural Networks in Pytorch/3. Writing Custom NN module.vtt 6KB
- 2. Introduction/2. Create Tensors in Pytorch.vtt 6KB
- 2. Introduction/5. Numpy in Pytorch.vtt 4KB
- 3. AutoGrad in Pytorch/2. Implementing Gradient Descent using Autograd.vtt 4KB
- 4. Creating Deep Neural Networks in Pytorch/2. Writing Deep neural network.vtt 4KB
- 5. CNN on Pytorch/2. Data Visualization.vtt 4KB
- 1. Welcome Aboard/1. Why PyTorch is Powerful.vtt 4KB
- 2. Introduction/6. What is CUDA.vtt 4KB
- 5. CNN on Pytorch/3. CNN Recap.vtt 3KB
- 6. LeNet Architecture in Pytorch/1. LeNet Overview.vtt 3KB
- 2. Introduction/3. Tensor Slicing and Reshape.vtt 3KB
- 3. AutoGrad in Pytorch/3.1 Pytorch_AutoGrad.zip.zip 3KB
- 7. Bonus Access/2. Linear Algebra for Data Science.vtt 2KB
- 4. Creating Deep Neural Networks in Pytorch/4.1 Writing_Deep_NN_pytorch.zip.zip 2KB
- 7. Bonus Access/3. Deep Learning Calculus.vtt 2KB
- 7. Bonus Access/4. Deep Learning from Scratch using Tensorflow - Keras.vtt 2KB
- 2. Introduction/4. Mathematical Operations on Tensors.vtt 2KB
- 7. Bonus Access/1. Bonus Access.html 1KB
- 7. Bonus Access/5. Follow us on Youtube for free Learning Content.html 259B
- 7. Bonus Access/3.1 Course Link.html 165B
- 7. Bonus Access/2.1 Course Link.html 161B
- 2. Introduction/9. Assignment on Pytorch Basics.html 136B
- 3. AutoGrad in Pytorch/4. Assignment on Autograd.html 136B
- 4. Creating Deep Neural Networks in Pytorch/5. Assignment on Deep Neural Networks.html 136B
- 7. Bonus Access/4.1 Course Link.html 127B
- 2. Introduction/8. Download Materials.html 53B
- 3. AutoGrad in Pytorch/3. Download Materials.html 53B
- 4. Creating Deep Neural Networks in Pytorch/4. Download Materials.html 53B
- 5. CNN on Pytorch/6. Download Materials.html 53B
- 6. LeNet Architecture in Pytorch/4. Download Materials.html 53B
- [DesireCourse.Net].url 51B
- [CourseClub.Me].url 48B