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【压缩文件】 [ FreeCourseWeb.com ] A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras.zip

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[ FreeCourseWeb.com ] A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras.zip 4.3 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning in JavaScript with TensorFlow.js.zip

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[ FreeCourseWeb.com ] Udemy - Machine Learning in JavaScript with TensorFlow.js.zip 2.6 GB

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【影视】 [FreeCoursesOnline.Me] FrontendMasters - A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras

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A Practical Guide to Deep Learning with TensorFlow 2.0 and K (28).mp4 196.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (27).mp4 188.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (2).mp4 188.1 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (20).mp4 185.1 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (25).mp4 179.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (3).mp4 179.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (22).mp4 177.9 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (26).mp4 177.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (21).mp4 176.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (7).mp4 176.3 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (16).mp4 173.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (18).mp4 173.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (5).mp4 171.0 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (1).mp4 170.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (10).mp4 167.2 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (11).mp4 165.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (9).mp4 164.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (6).mp4 161.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (15).mp4 147.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (17).mp4 140.9 MB

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【影视】 TensorFlow Getting Started

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6 - Transfer Learning with TensorFlow/4 - Implementing Transfer Learning in TensorFlow.mp4 40.0 MB
3 - Introducing TensorFlow/2 - Installing TensorFlow.mp4 32.0 MB
3 - Introducing TensorFlow/5 - TensorFlow Training.mp4 27.0 MB
tensorflow-getting-started.zip 23.9 MB
4 - Creating Neural Networks in TensorFlow/4 - Simple MNIST.mp4 23.4 MB
4 - Creating Neural Networks in TensorFlow/6 - Coding Deep MNIST.mp4 23.3 MB
7 - Extending TensorFlow with Add-ons/3 - Using Keras.mp4 22.1 MB
5 - Debugging and Monitoring/6 - Using TensorBoard - Part 2.mp4 19.4 MB
7 - Extending TensorFlow with Add-ons/4 - DeepMNIST in Keras.mp4 18.5 MB
5 - Debugging and Monitoring/3 - Using Names and Name Scope.mp4 18.1 MB
5 - Debugging and Monitoring/5 - Using TensorBoard - Part 1.mp4 16.4 MB
6 - Transfer Learning with TensorFlow/5 - Retraining Inception.mp4 15.5 MB
6 - Transfer Learning with TensorFlow/6 - Using Our Retrained Model.mp4 14.7 MB
7 - Extending TensorFlow with Add-ons/7 - DeepMNIST in TFLearn.mp4 14.4 MB
7 - Extending TensorFlow with Add-ons/6 - Using TFLearn.mp4 14.2 MB
4 - Creating Neural Networks in TensorFlow/5 - Deep MNIST.mp4 8.4 MB
2 - Introduction/4 - Skills and Course Structure.mp4 8.2 MB
3 - Introducing TensorFlow/8 - Gradient Descent in Action.mp4 7.2 MB
3 - Introducing TensorFlow/7 - Gradient Descent.mp4 6.4 MB
3 - Introducing TensorFlow/3 - Getting Hands-on.mp4 6.3 MB

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【压缩文件】 [DesireCourse.Net] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

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【文档书籍】 Planche B. Hands-On Computer Vision with TensorFlow 2..2019

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Planche B. et al. Hands-On Computer Vision with TensorFlow 2...2019.pdf 21.3 MB
Code/Chapter09/tfjs/static/emotion_detection/group1-shard1of4.bin 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection/group1-shard2of4.bin 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection/group1-shard3of4.bin 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection_old/group1-shard1of4 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection_old/group1-shard2of4 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection_old/group1-shard3of4 4.2 MB
Code/Chapter06/ch6_nb5_build_and_train_a_fcn8s_semantic_segmentation_model_for_smart_cars.ipynb 3.0 MB
Code/Chapter06/ch6_nb6_build_and_train_a_unet_for_urban_object_and_instance_segmentation.ipynb 2.8 MB
Code/Chapter07/ch7_nb4_train_segmentation_model_on_synthetic_images.ipynb 2.4 MB
Code/Chapter07/ch7_nb1_set_up_efficient_input_pipelines_with_tf_data.ipynb 2.4 MB
Code/Chapter06/ch6_nb4_preparing_data_for_smart_car_apps.ipynb 1.5 MB
Code/Chapter06/ch6_nb3_improve_image_quality_with_dae.ipynb 1.5 MB
Code/Chapter04/ch4_nb3_fetch_models_from_tf_hub.ipynb 1.1 MB
Code/Chapter07/ch7_nb6_apply_dann_to_train_segmentation_model_on_synthetic_data.ipynb 868.0 kB
Code/Chapter04/ch4_nb4_apply_transfer_learning.ipynb 762.0 kB
Code/Chapter04/ch4_nb1_implement_resnet_from_scratch.ipynb 734.2 kB
Code/Chapter04/ch4_nb2_reuse_models_from_keras_apps.ipynb 684.2 kB
Code/Chapter07/ch7_nb7_generate_images_with_vae_models.ipynb 559.2 kB
Code/Chapter07/ch7_nb8_generate_images_with_gan_models.ipynb 559.0 kB

猜你喜欢： .. Planche Computer 2019 Hands TensorFlow Vision

【压缩文件】 [FreeTutorials.Us] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python

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01 Introduction/002 TensorFlow-Bootcamp.zip 305.2 MB
01 Introduction/003 TensorFlow-Bootcamp.zip 305.2 MB
06 TensorFlow Basics/032 TensorFlow Regression Example - Part Two.mp4 53.2 MB
07 Convolutional Neural Networks/051 CNN Project Exercise Solution - Part One.mp4 52.6 MB
10 AutoEncoders/077 Stacked Autoencoder.mp4 46.1 MB
05 Introduction to Neural Networks/024 Manual Neural Network Classification Task.mp4 42.5 MB
09 Miscellaneous Topics/072 Tensorboard.mp4 41.9 MB
10 AutoEncoders/074 Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
08 Recurrent Neural Networks/066 Word2Vec Code Along - Part One.mp4 37.3 MB
08 Recurrent Neural Networks/063 Time Series Exercise Solution.mp4 36.8 MB
07 Convolutional Neural Networks/045 MNIST Basic Approach Part Two.mp4 36.6 MB
08 Recurrent Neural Networks/059 RNN with TensorFlow - Part One.mp4 35.7 MB
09 Miscellaneous Topics/070 Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp4 33.5 MB
03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
08 Recurrent Neural Networks/060 RNN with TensorFlow - Part Two.mp4 31.8 MB
06 TensorFlow Basics/031 TensorFlow Regression Example - Part One.mp4 31.5 MB
09 Miscellaneous Topics/071 Deep Nets with Tensorflow Abstractions API - Layers.mp4 30.1 MB

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【影视】 [FreeTutorials.Us] deep-learning-convolutional-neural-networks-theano-tensorflow

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07 Project Facial Expression Recognition/026 Convolutional Net in Theano.mp4 54.2 MB
07 Project Facial Expression Recognition/027 Convolutional Net in TensorFlow.mp4 50.0 MB
08 Appendix/028 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
04 Convolutional Neural Network in Theano/018 Theano - Full CNN and Test on SVHN.mp4 41.3 MB
08 Appendix/029 How to Code by Yourself part 1.mp4 25.7 MB
05 Convolutional Neural Network in TensorFlow/021 TensorFlow - Full CNN and Test on SVHN.mp4 25.2 MB
03 Convolutional Neural Network Description/016 LeNet - How the Shapes Go Together.mp4 22.7 MB
07 Project Facial Expression Recognition/023 Facial Expression Recognition Problem Description.mp4 22.5 MB
02 Convolution/010 Write Convolution Yourself.mp4 19.4 MB
08 Appendix/030 How to Code by Yourself part 2.mp4 15.5 MB
02 Convolution/008 Convolution example with images Gaussian Blur.mp4 14.7 MB
07 Project Facial Expression Recognition/025 Utilities walkthrough.mp4 14.1 MB
02 Convolution/007 Convolution example with audio Echo.mp4 12.7 MB
07 Project Facial Expression Recognition/024 The class imbalance problem.mp4 10.6 MB
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4 10.5 MB
02 Convolution/011 Alternative Views on Convolution.mp4 10.3 MB
01 Outline and Review/004 How to Succeed in this Course.mp4 10.0 MB
04 Convolutional Neural Network in Theano/019 Visualizing the Learned Filters.mp4 9.4 MB
02 Convolution/006 What is convolution.mp4 9.0 MB
03 Convolutional Neural Network Description/013 Architecture of a CNN.mp4 8.9 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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[ FreeCourseWeb.com ] End-to-End Machine Learning with TensorFlow on GCP.zip 724.0 MB

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【压缩文件】 [FreeCourseLab.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

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【其他】 Udemy.Machine.Learning.in.JavaScript.with.TensorFlow.js.BOOKWARE-SOFTiMAGE

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【影视】 [CourseClub.ME] - PacktPub -Learn Artificial Intelligence with TensorFlow [Video]

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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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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python.zip

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[ FreeCourseWeb.com ] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python.zip 3.2 GB

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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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
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/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 96.6 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
19. Appendix FAQ/8. 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 90.5 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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【压缩文件】 Detect Fraud and Predict the Stock Market with TensorFlow

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Detect Fraud and Predict the Stock Market with TensorFlow.zip 1.1 GB
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【文档书籍】 Planche B. Hands-On Computer Vision with TensorFlow 2..2019

收录时间:2020-03-21 文档个数:209 文档大小:74.4 MB 最近下载:2024-11-04 人气:628 磁力链接

Planche B. et al. Hands-On Computer Vision with TensorFlow 2...2019.pdf 21.3 MB
Code/Chapter09/tfjs/static/emotion_detection_old/group1-shard1of4 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection_old/group1-shard3of4 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection/group1-shard3of4.bin 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection/group1-shard2of4.bin 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection/group1-shard1of4.bin 4.2 MB
Code/Chapter09/tfjs/static/emotion_detection_old/group1-shard2of4 4.2 MB
Code/Chapter06/ch6_nb5_build_and_train_a_fcn8s_semantic_segmentation_model_for_smart_cars.ipynb 3.0 MB
Code/Chapter06/ch6_nb6_build_and_train_a_unet_for_urban_object_and_instance_segmentation.ipynb 2.8 MB
Code/Chapter07/ch7_nb4_train_segmentation_model_on_synthetic_images.ipynb 2.4 MB
Code/Chapter07/ch7_nb1_set_up_efficient_input_pipelines_with_tf_data.ipynb 2.4 MB
Code/Chapter06/ch6_nb4_preparing_data_for_smart_car_apps.ipynb 1.5 MB
Code/Chapter06/ch6_nb3_improve_image_quality_with_dae.ipynb 1.5 MB
Code/Chapter04/ch4_nb3_fetch_models_from_tf_hub.ipynb 1.1 MB
Code/Chapter07/ch7_nb6_apply_dann_to_train_segmentation_model_on_synthetic_data.ipynb 868.0 kB
Code/Chapter04/ch4_nb4_apply_transfer_learning.ipynb 762.0 kB
Code/Chapter04/ch4_nb1_implement_resnet_from_scratch.ipynb 734.2 kB
Code/Chapter04/ch4_nb2_reuse_models_from_keras_apps.ipynb 684.2 kB
Code/Chapter07/ch7_nb7_generate_images_with_vae_models.ipynb 559.2 kB
Code/Chapter07/ch7_nb8_generate_images_with_gan_models.ipynb 559.0 kB

猜你喜欢： .. Planche Computer 2019 Hands TensorFlow Vision

【影视】 [GigaCourse.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2020-03-22 文档个数:247 文档大小:7.5 GB 最近下载:2024-11-12 人气:3126 磁力链接

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
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/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 96.6 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
19. Appendix FAQ/8. 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 90.5 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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4. 3. Creating a TensorFlow Model/13. Define the model structure.mp4 28.5 MB
5. 4. Training a Model in TensorFlow/16. Log.mp4 26.2 MB
4. 3. Creating a TensorFlow Model/12. Load the data set.mp4 24.4 MB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.mp4 20.5 MB
7. 6. Using a Trained TensorFlow/21. Export models for use in production.mp4 17.0 MB
6. 5. TensorBoard/19. Visualize training runs.mp4 16.5 MB
6. 5. TensorBoard/18. Visualize the computational graph.mp4 14.8 MB
7. 6. Using a Trained TensorFlow/23. Host your model in the cloud with Google Cloud.mp4 13.9 MB
5. 4. Training a Model in TensorFlow/15. Train.mp4 13.3 MB
7. 6. Using a Trained TensorFlow/24. Use a model in the cloud.mp4 12.3 MB
2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.mp4 11.5 MB
3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.mp4 11.1 MB
6. 5. TensorBoard/20. Add custom visualizations to TensorBoard.mp4 10.4 MB
4. 3. Creating a TensorFlow Model/14. Set up the model training loop.mp4 9.9 MB
3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.mp4 9.8 MB
5. 4. Training a Model in TensorFlow/17. Save and load trained models.mp4 9.7 MB
7. 6. Using a Trained TensorFlow/22. Configure a new Google Cloud account.mp4 9.6 MB
4. 3. Creating a TensorFlow Model/11. Options for loading data.mp4 7.4 MB
1. Introduction/01. Welcome.mp4 5.0 MB
3. 2. TensorFlow Overview/08. Hardware, software, and language requirements.mp4 5.0 MB

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18. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Appendix FAQ/3. 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
18. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 128.6 MB
18. Appendix FAQ/4. 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 96.6 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
18. Appendix FAQ/10. 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 90.5 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
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 87.6 MB

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19-skflow.mp4 36.1 MB
18-Introducing Recurrent Neural Networks.mp4 34.9 MB
04-Logistic Regression Model Building.mp4 27.1 MB
21-Research Evaluation.mp4 27.0 MB
12-Convolutional Layer Application.mp4 26.9 MB
15-Deep CNN.mp4 25.2 MB
02-Installing TensorFlow.mp4 21.5 MB
03-Simple Computations.mp4 21.4 MB
09-Multiple Hidden Layer Model.mp4 20.8 MB
06-Basic Neural Nets.mp4 20.3 MB
07-Single Hidden Layer Model.mp4 19.8 MB
05-Logistic Regression Training.mp4 19.2 MB
17-Wrapping Up Deep CNN.mp4 19.2 MB
10-Multiple Hidden Layer Results.mp4 18.2 MB
08-Single Hidden Layer Explained.mp4 17.9 MB
14-Pooling Layer Application.mp4 16.8 MB
16-Deeper CNN.mp4 16.3 MB
20-RNNs in skflow.mp4 15.7 MB
11-Convolutional Layer Motivation.mp4 13.4 MB
01-The Course Overview.mp4 11.6 MB

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