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[ CourseWikia.com ] Mailchimp Customer Journeys - A Deep Dive 2023

  • ~Get Your Files Here !/6 - Use the knowledge/22 - Creating a journey.mp4 104.4 MB
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[磁力链接] 添加时间:2023-12-18 大小:1.1 GB 最近下载:2025-07-03 热度:1159

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[磁力链接] 添加时间:2023-12-18 大小:802.1 MB 最近下载:2025-04-26 热度:587

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[ManyVids.com] ArgenDana - THE ELBOW DEEP ANAL QUEEN.mp4

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  • Screens/screen0001.png 490.8 kB
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[磁力链接] 添加时间:2023-12-18 大小:1.4 GB 最近下载:2025-05-13 热度:1847

[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/177 - Examine feature map activations.mp4 432.2 MB
  • 22 - Style transfer/205 - Transferring the screaming bathtub.mp4 361.5 MB
  • 19 - Understand and design CNNs/176 - Classify Gaussian blurs.mp4 293.3 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/218 - CodeChallenge sine wave extrapolation.mp4 272.5 MB
  • 18 - Convolution and transformations/163 - Convolution in code.mp4 270.8 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/217 - Predicting alternating sequences.mp4 259.1 MB
  • 26 - Where to go from here/229 - How to read academic DL papers.mp4 232.8 MB
  • 19 - Understand and design CNNs/184 - The EMNIST dataset letter recognition.mp4 230.7 MB
  • 19 - Understand and design CNNs/174 - CNN to classify MNIST digits.mp4 228.4 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/222 - Lorem ipsum.mp4 226.2 MB
  • 7 - ANNs Artificial Neural Networks/52 - Multioutput ANN iris dataset.mp4 225.5 MB
  • 23 - Generative adversarial networks/210 - CNN GAN with Gaussians.mp4 224.6 MB
  • 21 - Transfer learning/200 - Pretraining with autoencoders.mp4 218.8 MB
  • 19 - Understand and design CNNs/180 - Do autoencoders clean Gaussians.mp4 216.1 MB
  • 9 - Regularization/72 - Dropout regularization in practice.mp4 211.2 MB
  • 21 - Transfer learning/198 - Transfer learning with ResNet18.mp4 210.9 MB
  • 16 - Autoencoders/157 - Autoencoder with tied weights.mp4 210.4 MB
  • 7 - ANNs Artificial Neural Networks/47 - ANN for classifying qwerties.mp4 205.8 MB
  • 10 - Metaparameters activations optimizers/82 - The wine quality dataset.mp4 203.8 MB
  • 18 - Convolution and transformations/171 - Image transforms.mp4 202.3 MB
[磁力链接] 添加时间:2023-12-18 大小:25.4 GB 最近下载:2025-07-05 热度:5523

Formacao.Deep.Learning.com.Pytorch

  • 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
[磁力链接] 添加时间:2023-12-18 大小:4.3 GB 最近下载:2025-07-04 热度:2175

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[磁力链接] 添加时间:2023-12-18 大小:1.1 GB 最近下载:2025-06-30 热度:4826

tutsgalaxy.-com-udemy-deep-learning-prerequisites-linear-regression-in-python

  • 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
  • 6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 62.3 MB
  • 1. Welcome/1. Welcome.mp4 52.1 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).srt 49.7 MB
  • 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 4. Practical machine learning issues/3. Generalization error, train and test sets.srt 40.9 MB
  • 6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).srt 30.8 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • 6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • 4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • 2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
  • 6. Appendix FAQ/6. How to Code by Yourself (part 2).srt 20.5 MB
  • 2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
[磁力链接] 添加时间:2023-12-17 大小:1.3 GB 最近下载:2025-04-25 热度:203

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[FreeCourseSite.com] Udemy - Machine Learning Deep Learning and Bayesian Learning

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[GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
  • 22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
  • 19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
  • 07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
  • 18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
  • 14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
  • 19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
  • 19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
  • 07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
  • 16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
  • 26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
  • 19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
  • 21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
  • 16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
  • 23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
  • 09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
  • 07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB
[磁力链接] 添加时间:2023-12-17 大小:17.2 GB 最近下载:2025-06-28 热度:3547

[ FreeCourseWeb.com ] Udemy - F5 BigIP Administration and all Labs Deep Dive in F5 Series.zip

  • [ FreeCourseWeb.com ] Udemy - F5 BigIP Administration and all Labs Deep Dive in F5 Series.zip 4.5 GB
[磁力链接] 添加时间:2023-12-17 大小:4.5 GB 最近下载:2025-07-04 热度:1840


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