deep -91BT -最全磁力搜索引擎

~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.mp4 96.7 MB
~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.mp4 94.5 MB
~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.mp4 92.2 MB
~Get Your Files Here !/7. Recognizing fashion items/3. Convolutional network fundamentals.mp4 92.0 MB
~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.mp4 85.8 MB
~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.mp4 80.4 MB
~Get Your Files Here !/3. Introduction to PyTorch/7. Gradients and backpropagation.mp4 80.3 MB
~Get Your Files Here !/3. Introduction to PyTorch/3. GPUs in the context of deep learning.mp4 74.1 MB
~Get Your Files Here !/4. Working with datasets/2. Working with PyTorch datasets.mp4 73.1 MB
~Get Your Files Here !/8. Deep learning best practices/1. General ensembling in machine learning.mp4 73.0 MB
~Get Your Files Here !/4. Working with datasets/5. Image augmentation fundamentals.mp4 72.4 MB
~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.mp4 72.3 MB
~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.mp4 71.5 MB
~Get Your Files Here !/8. Deep learning best practices/5. When not to use deep learning.mp4 69.6 MB
~Get Your Files Here !/4. Working with datasets/4. Building a PyTorch dataset.mp4 69.1 MB
~Get Your Files Here !/8. Deep learning best practices/2. Ensembling in deep learning.mp4 69.1 MB
~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.mp4 65.9 MB
~Get Your Files Here !/3. Introduction to PyTorch/1. Creating a tensor.mp4 64.1 MB
~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.mp4 63.3 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/6. Sending Google Colab notebooks to GitHub.mp4 62.8 MB

[磁力链接] 添加时间:2023-12-22 大小:3.0 GB 最近下载:2026-06-15 热度:4867

LegalPorno - Lydia Black gets 5BBC with Balls Deep Anal Gapes

LegalPorno - Lydia Black gets 5BBC with Balls Deep Anal Gapes.mp4 982.4 MB
RARBG.to.nfo 32 Bytes

[磁力链接] 添加时间:2020-03-04 大小:982.4 MB 最近下载:2026-06-13 热度:4866

ExclusiveTeenPorn.12.12.01.Mouse.Fucked.Deep.XXX.720p.WMV-EXCLUSIVETEENPORN[rbg]

etp121201mfd.wmv 919.3 MB
etp121201mfd.nfo 459 Bytes
RARBG.com.txt 34 Bytes

[磁力链接] 添加时间:2020-03-22 大小:919.3 MB 最近下载:2026-03-10 热度:4866

EuroTeenErotica.20.09.22.Summer.Pixi.Balls.Deep.In.The.Bunker.XXX.1080p.MP4-XXX

Summer Pixi Balls Deep In The Bunker 1080p.mp4 2.4 GB
RARBG.txt 5 Bytes

[磁力链接] 添加时间:2020-10-04 大小:2.4 GB 最近下载:2026-06-16 热度:4866

InfernalRestraints.com - Jade Indica - DEEP DEPTHS, Aug 28, 2020_478p.mp4

InfernalRestraints.com - Jade Indica - DEEP DEPTHS, Aug 28, 2020_478p.mp4 961.6 MB

[磁力链接] 添加时间:2020-10-20 大小:961.6 MB 最近下载:2026-06-14 热度:4866

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Darsi Devil - Balls Deep With Pee, Darsi Devil, 1on1, BWC, ATM, Rough Sex, Big Gapes, Pee Drink, Cum In Mouth, Swallow GL673 (05.05.2022)_1080p.mp4 4.3 GB

[磁力链接] 添加时间:2022-06-19 大小:4.3 GB 最近下载:2026-06-15 热度:4866

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Silvia Dellai - GagsGirls Goes Wet, Silvia Dellai, 4on1, ATM, Balls Deep, DAP, Extreme Deepthroat, Manhandle, No Pussy, Rough Sex, Big Gapes, Pee CocktailDrinkShower AH067 (05.02.2025)_720p.mp4 1.9 GB

[磁力链接] 添加时间:2025-02-08 大小:1.9 GB 最近下载:2026-06-15 热度:4866

[CourseClub.NET] Coursera - Introduction to Deep Learning

011.Modern CNNs/021. Training tips and tricks for deep CNNs.mp4 60.7 MB
019.Applications of RNNs/039. Practical use cases for RNNs.mp4 58.8 MB
015.Word Embeddings/030. Word embeddings.mp4 50.7 MB
018.Modern RNNs/038. Modern RNNs LSTM and GRU.mp4 50.0 MB
007.Matrix derivatives/013. Efficient MLP implementation.mp4 49.4 MB
006.The simplest neural network MLP/010. Multilayer perceptron (MLP).mp4 46.8 MB
003.Linear model as the simplest neural network/004. Linear classification.mp4 44.7 MB
010.Introduction to CNN/020. Our first CNN architecture.mp4 44.6 MB
016.Generative Adversarial Networks/033. Applications of adversarial approach.mp4 43.9 MB
010.Introduction to CNN/019. Motivation for convolutional layers.mp4 43.4 MB
014.More Autoencoders/027. Autoencoder applications.mp4 42.8 MB
008.TensorFlow framework/015. What is TensorFlow.mp4 41.4 MB
008.TensorFlow framework/016. Our first model in TensorFlow.mp4 38.6 MB
015.Word Embeddings/029. Natural language processing primer.mp4 38.5 MB
005.Stochastic methods for optimization/009. Gradient descent extensions.mp4 38.3 MB
016.Generative Adversarial Networks/032. Generative Adversarial Networks.mp4 37.9 MB
003.Linear model as the simplest neural network/003. Linear regression.mp4 37.5 MB
017.Introduction to RNN/035. Simple RNN and Backpropagation.mp4 36.8 MB
018.Modern RNNs/037. Dealing with vanishing and exploding gradients.mp4 36.6 MB
011.Modern CNNs/022. Overview of modern CNN architectures.mp4 33.8 MB