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- 【影视】 [FreeCourseSite.com] Udemy - TensorFlow 2.0 Practical Advanced
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收录时间:2022-03-16
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01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 229.6 MB
05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 221.2 MB
05 - DEEP DREAM/001 What is Deep Dream.mp4 203.4 MB
05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 162.6 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 149.3 MB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 147.5 MB
04 - AUTOENCODERS/001 Autoencoders intuition.mp4 124.4 MB
04 - AUTOENCODERS/20087012-traffic-signs-data.zip 121.4 MB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 114.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 106.3 MB
06 - GANs/010 GANS Project 1 P5.mp4 102.1 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 102.1 MB
05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 101.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 96.7 MB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 96.2 MB
06 - GANs/001 GANS intuition.mp4 95.4 MB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 93.8 MB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4 92.6 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] End-to-End Machine Learning with TensorFlow on GCP.zip
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收录时间:2022-03-17
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[ FreeCourseWeb.com ] End-to-End Machine Learning with TensorFlow on GCP.zip 724.0 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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收录时间:2022-03-24
文档个数:273
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最近下载:2025-04-23
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磁力链接
18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. 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
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Hands-On Image Generation with TensorFlow - A practical guide to generating images and videos using deep learning.zip
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收录时间:2022-04-02
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[ FreeCourseWeb.com ] Hands-On Image Generation with TensorFlow - A practical guide to generating images and videos using deep learning.zip 241.0 MB
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- 【影视】 365 Data Science - Deep Learning with TensorFlow 2.0 [CoursesGhar]
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收录时间:2022-04-03
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磁力链接
13. Business case/4. Preprocessing the data.mp4 81.2 MB
14. Conclusion/3. An overview of CNNs.mp4 75.4 MB
6. Deep nets overview/3. Really understand deep nets.mp4 61.0 MB
2. Neural networks Intro/11. One-parameter gradient descent.mp4 59.1 MB
6. Deep nets overview/7. Backpropagation.mp4 55.3 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 54.6 MB
2. Neural networks Intro/12. N-parameter gradient descent.mp4 52.5 MB
1. Introduction/2. What does the course cover.mp4 51.6 MB
14. Conclusion/1. Summary.mp4 50.9 MB
4. Minimal example/4. Training the model.mp4 48.8 MB
13. Business case/3. Balancing the dataset.mp4 46.8 MB
13. Business case/7. Setting an early stopping mechanism.mp4 44.7 MB
2. Neural networks Intro/1. Introduction to neural networks.mp4 44.6 MB
2. Neural networks Intro/6. The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
14. Conclusion/5. Non-NN approaches.mp4 43.9 MB
5. Introduction to TensorFlow 2/1. TensorFlow outline.mp4 43.2 MB
12. Deeper example/8. Learning.mp4 42.9 MB
2. Neural networks Intro/3. Types of machine learning.mp4 42.8 MB
11. Preprocessing/3. Standardization.mp4 42.3 MB
6. Deep nets overview/4. Why do we need non-linearities.mp4 39.8 MB
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- 【影视】 [CourseClub.Me] Coursera - TensorFlow Data and Deployment Specialization
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2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 01 - Introduction, A conversation with Andrew Ng.mp4 39.7 MB
1. Browser-based Models with TensorFlow.js/browser-based-models-tensorflow - 19 - MNIST Classifier In Code.mp4 21.8 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 39 - A conversation with Andrew Ng.mp4 21.0 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 01 - Introduction, A conversation with Andrew Ng.mp4 19.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 15 - Introduction, A conversation with Andrew.mp4 18.6 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 34 - Introduction, A conversation with Andrew Ng.mp4 18.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 52 - Introduction, A conversation with Andrew Ng.mp4 18.0 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 33 - Notebook walkthrough.mp4 17.8 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 24 - Introduction, A conversation with Andrew Ng.mp4 17.3 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 13 - Introduction, A conversation with Andrew Ng.mp4 16.5 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 14 - Transfer learning with TFLite.mp4 16.1 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 01 - A conversation with Andrew Ng.mp4 15.8 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 35 - Training on mobile devices.mp4 15.3 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 26 - Notebook Walkthrough.mp4 14.6 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 45 - Looking at the code for the image classification App.mp4 14.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 38 - Looking at the App in Xcode.mp4 14.1 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 25 - Demo of camera image classifier.mp4 14.0 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 38 - Maintaining user privacy.mp4 13.6 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 58 - Going Through the Colab - Part 2.mp4 13.4 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 60 - A conversation with Andrew Ng.mp4 13.3 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - TensorFlow 2.0 Practical Advanced
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磁力链接
01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 229.6 MB
05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 221.2 MB
05 - DEEP DREAM/001 What is Deep Dream.mp4 203.4 MB
05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 162.6 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 149.3 MB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 147.5 MB
04 - AUTOENCODERS/001 Autoencoders intuition.mp4 124.4 MB
04 - AUTOENCODERS/20087012-traffic-signs-data.zip 121.4 MB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 114.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 106.3 MB
06 - GANs/010 GANS Project 1 P5.mp4 102.1 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 102.1 MB
05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 101.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 96.7 MB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 96.2 MB
06 - GANs/001 GANS intuition.mp4 95.4 MB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 93.8 MB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4 92.6 MB
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- 【影视】 Tensorflow资料
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收录时间:2022-04-07
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37小仙女思妍-性感包臀公主.mp4 3.1 GB
38小仙女思妍-风骚秘书的丝袜美腿.mp4 2.5 GB
36小仙女思妍-拉菲的绝世美腿.mp4 2.2 GB
30小仙女思妍-新模佳佳无套玩弄极品美腿.mp4 2.0 GB
35小仙女思妍-长腿女仆.mp4 1.9 GB
19小仙女思妍-搭讪上班白领 (2).mp4 1.7 GB
28小仙女思妍-仙女系列2.mp4 1.5 GB
12小仙女思妍-潜规则165cm车展女模特.mp4 1.5 GB
27小仙女思妍-飞天小女警.mp4 1.5 GB
33小仙女思妍-红衣美腿女神.mp4 1.5 GB
16小仙女思妍-肉丝美脚秘书.mp4 1.4 GB
15小仙女思妍-大战白色蕾丝性感小仙女.mp4 1.4 GB
29小仙女思妍-性感长腿OL旗袍.mp4 1.4 GB
23潜规则女模2.mp4 1.4 GB
13小仙女思妍-薄纱黑丝女神.mp4 1.4 GB
25小仙女思妍-长腿女神被草.mp4 1.2 GB
24小仙女思妍-草性感邻居.mp4 1.2 GB
22小仙女思妍-170长腿黑丝模特.mp4 1.1 GB
21小仙女思妍-空姐维密啪啪啪.mp4 1.1 GB
34小仙女思妍-怒操淘宝模特.mp4 930.8 MB
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- 【影视】 365 Data Science - Deep Learning with TensorFlow [CoursesGhar]
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收录时间:2022-04-08
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人气:1574
磁力链接
13. Business case/4. Preprocessing the data.mp4 82.6 MB
14. Conclusion/3. An overview of CNNs.mp4 75.4 MB
6. Deep nets overview/3. Really understand deep nets.mp4 61.0 MB
13. Business case/10. Homework.mp4 60.3 MB
13. Business case/5. Creating the batching class.mp4 59.4 MB
2. Neural networks Intro/11. One-parameter gradient descent.mp4 59.1 MB
12. Deeper example/9. Commenting on the results.mp4 55.3 MB
6. Deep nets overview/7. Backpropagation.mp4 55.3 MB
13. Business case/1. The dataset.mp4 55.2 MB
2. Neural networks Intro/12. N-parameter gradient descent.mp4 52.5 MB
1. Introduction/2. What does the course cover.mp4 51.6 MB
14. Conclusion/1. Summary.mp4 50.9 MB
4. Minimal example/4. Training the model.mp4 48.8 MB
13. Business case/6. Outlining the model.mp4 48.5 MB
12. Deeper example/4. MNIST - Outlining the model.mp4 47.2 MB
13. Business case/3. Balancing a dataset.mp4 47.1 MB
5. Introduction to TensorFlow/1. TensorFlow outline.mp4 46.8 MB
2. Neural networks Intro/1. Introduction to neural networks.mp4 44.6 MB
2. Neural networks Intro/6. The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
14. Conclusion/5. Non-NN approaches.mp4 43.9 MB
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CoursesGhar
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- 【影视】 Tensorflow 2.0 Deep Learning and Artificial Intelligence
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收录时间:2022-04-10
文档个数:403
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人气:7967
磁力链接
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. 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
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Packt - Applied Deep Learning with TensorFlow and Google Cloud AI.zip
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收录时间:2022-04-12
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磁力链接
[ FreeCourseWeb.com ] Packt - Applied Deep Learning with TensorFlow and Google Cloud AI.zip 1.9 GB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction to Deep Learning with TensorFlow 2.0.zip
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收录时间:2022-04-12
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人气:959
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[ FreeCourseWeb.com ] Udemy - Introduction to Deep Learning with TensorFlow 2.0.zip 2.5 GB
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- 【影视】 Deep learning for image segmentation using Tensorflow 2
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[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/016 Running the exported model on new examples locally.mp4 238.4 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/005 Annotating a custom dataset.mp4 229.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/008 Windows installation _ Installing tensorflow with GPU support.mp4 215.3 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/001 What is cloud computing and what is AI Platform_ (optional).mp4 121.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/007 Windows installation _ Installing tensorflow 2 object detection API.mp4 112.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).mp4 107.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/012 Analyzing the results after the training of Mask RCNN model is finished.mp4 91.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/06 Train Mask RCNN model on your local machine/005 Modifying the configuration file - Part 1.mp4 88.9 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/013 Analyzing the results of the second training.mp4 88.0 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).mp4 87.8 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/015 Downloading the trained model and exporting the SavedModel from checkpoints.mp4 77.5 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/06 Train Mask RCNN model on your local machine/007 Running the training locally.mp4 61.8 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/007 Transforming our dataset to tfrecord format.mp4 58.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/006 From multiple annotation files to one annotation file.mp4 58.3 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/004 Linux installation _ How to install tensorflow 2 object detection API.mp4 57.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/006 Preparing our config file for training on google cloud.mp4 53.2 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/003 Downloading Google Cloud SDK.mp4 53.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/011 Running the evaluation for Mask RCNN model during the training.mp4 48.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/003 Linux - Exploring the dataset - Part 2.mp4 46.4 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/005 Creating a google bucket and uploading data to it.mp4 42.9 MB
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- 【影视】 [CourseClub.ME] - PacktPub -Learn Artificial Intelligence with TensorFlow [Video]
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收录时间:2022-04-17
文档个数:30
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最近下载:2025-04-02
人气:260
磁力链接
3.Natural Language Processing and Recurrent Neural Networks/10.Embeddings.mp4 374.1 MB
6.Miscellaneous Topics and Course Summary/25.TensorFlow Eager.mp4 327.1 MB
1.TensorFlow Setup and Fundamental Concepts/03.TensorFlow Basics Part 1 - Tensors and Variables.mp4 118.8 MB
6.Miscellaneous Topics and Course Summary/23.TPUs.mp4 109.9 MB
2.Computer Vision/06.Convolutional Neural Networks.mp4 106.2 MB
1.TensorFlow Setup and Fundamental Concepts/04.TensorFlow Basics Part 2 - Graphs and Sessions.mp4 105.6 MB
1.TensorFlow Setup and Fundamental Concepts/05.TensorFlow Basics Part 3 - Training, Saving, and Restoring.mp4 103.9 MB
5.TensorFlow in Production/19.Requirements for ML at Scale.mp4 85.3 MB
5.TensorFlow in Production/20.TensorFlow with C++.mp4 78.2 MB
6.Miscellaneous Topics and Course Summary/26.Course Summary and Next Steps.mp4 71.3 MB
4.Tips and Tricks/15.TensorBoard.mp4 64.3 MB
1.TensorFlow Setup and Fundamental Concepts/02.Machine Learning Basics.mp4 63.9 MB
1.TensorFlow Setup and Fundamental Concepts/01.The Course Overview.mp4 53.0 MB
4.Tips and Tricks/17.Training Tips.mp4 40.8 MB
5.TensorFlow in Production/21.TensorFlow Serving.mp4 40.8 MB
4.Tips and Tricks/16.Working with Estimators.mp4 40.8 MB
2.Computer Vision/09.Training a CNN on CIFAR-10 – Part 2.mp4 37.9 MB
4.Tips and Tricks/18.Debugging Strategies.mp4 33.0 MB
2.Computer Vision/08.Training a CNN on CIFAR-10 – Part 1.mp4 25.3 MB
3.Natural Language Processing and Recurrent Neural Networks/13.Models for Text Classification – Part 1.mp4 24.4 MB
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01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 229.6 MB
05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 221.2 MB
05 - DEEP DREAM/001 What is Deep Dream.mp4 203.4 MB
05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 162.6 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 149.3 MB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 147.5 MB
04 - AUTOENCODERS/001 Autoencoders intuition.mp4 124.4 MB
04 - AUTOENCODERS/20087012-traffic-signs-data.zip 121.4 MB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 114.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 106.3 MB
06 - GANs/010 GANS Project 1 P5.mp4 102.1 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 102.1 MB
05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 101.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 96.7 MB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 96.2 MB
06 - GANs/001 GANS intuition.mp4 95.4 MB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 93.8 MB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4 92.6 MB
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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
20. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.6 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
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05. Applying the Machine Learning Workflow with TensorFlow/6. Training the Model.mp4 16.2 MB
09. Deploying Your Neural Network/4. Using TensorFlow Model Serving.mp4 14.0 MB
05. Applying the Machine Learning Workflow with TensorFlow/4. Preparing the Data.mp4 13.7 MB
07. Building and Training Your First Neural Network/2. Getting and Preparing the Data.mp4 11.3 MB
08. Monitoring and Improving Neural Network Performance/2. TensorBoard Setup.mp4 11.0 MB
08. Monitoring and Improving Neural Network Performance/4. Reducing Training Data Overfitting.mp4 10.6 MB
05. Applying the Machine Learning Workflow with TensorFlow/1. Setting up the Example.mp4 10.5 MB
06. Understanding Neural Networks/4. Activation Functions.mp4 9.4 MB
08. Monitoring and Improving Neural Network Performance/3. Monitoring Your Trained Model’s Performance.mp4 9.4 MB
03. Setting up the TensorFlow Environment/5. Sequencing Code Execution.mp4 9.3 MB
07. Building and Training Your First Neural Network/4. Demo - Creating the Model.mp4 9.2 MB
05. Applying the Machine Learning Workflow with TensorFlow/5. Creating the Model.mp4 8.8 MB
08. Monitoring and Improving Neural Network Performance/6. Early Stopping.mp4 8.7 MB
05. Applying the Machine Learning Workflow with TensorFlow/2. Defining the Problem and Getting Data.mp4 8.6 MB
06. Understanding Neural Networks/6. Predicting with an Untrained Neural Network.mp4 8.3 MB
06. Understanding Neural Networks/7. Training a Neural Network.mp4 8.3 MB
05. Applying the Machine Learning Workflow with TensorFlow/7. Improving Performance.mp4 8.0 MB
07. Building and Training Your First Neural Network/1. Building a Neural Network in TensorFlow.mp4 7.9 MB
05. Applying the Machine Learning Workflow with TensorFlow/3. Exploring the Data.mp4 7.9 MB
07. Building and Training Your First Neural Network/3. Creating the Model.mp4 7.8 MB
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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. 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
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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18 - Model deployment/84 - Building the Emotions Detection API with Fastapi.mp4 707.4 MB
8 - Data augmentation/44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 647.5 MB
46 - DEPRECATED Object Detection with YOLO/260 - YOLO v3.mp4 643.9 MB
28 - Neural Machine Translation with Transformers/133 - Understanding Transformer Networks.mp4 636.4 MB
34 - Extractive Question Answering with Longformer in Huggingface transformers/153 - Problem Understanding and Data Preparation.mp4 634.4 MB
19 - Object Detection with YOLO algorithm/88 - YOLO paper.mp4 599.8 MB
28 - Neural Machine Translation with Transformers/134 - Building training and testing Transformers.mp4 584.1 MB
29 - Sentiment Analysis with Transformers/138 - Sentiment analysis with LSH Attention.mp4 565.3 MB
46 - DEPRECATED Object Detection with YOLO/254 - Modeling YOLO v1.mp4 502.5 MB
50 - DEPRECATED Question Answering with TensorFlow 2/289 - LSH Attention.mp4 502.0 MB
11 - MLOps with Weights and Biases/52 - Experiment tracking.mp4 492.5 MB
43 - DEPRECATED Introduction to Deep Computer Vision with TensorFlow 2/230 - Transfer Learning and FineTuning.mp4 461.3 MB
8 - Data augmentation/41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4 444.6 MB
17 - Transformers in Vision/72 - Understanding VITs.mp4 442.5 MB
49 - DEPRECATED Neural Machine Translation with TensorFlow 2/279 - Attention Mechanism Bahdanau Attention.mp4 441.9 MB
22 - Image generation/110 - Face generation with GANs.mp4 428.4 MB
2 - Tensors and Variables/5 - Tensor Initialization and Casting.mp4 426.3 MB
46 - DEPRECATED Object Detection with YOLO/253 - Pascal VOC Dataset.mp4 422.1 MB
19 - Object Detection with YOLO algorithm/89 - Dataset Preparation.mp4 420.6 MB
17 - Transformers in Vision/73 - Building VITs from scratch.mp4 418.2 MB
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