- 【影视】 [ CourseWikia.com ] Udemy - Deep Learning Real World Projects & TensorFlow Certification
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~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.mp4 182.2 MB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.mp4 114.4 MB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.mp4 96.9 MB
~Get Your Files Here !/7. Lecture 7 Memoization.mp4 92.7 MB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.mp4 81.7 MB
~Get Your Files Here !/4. Lecture 4 DNN Notations.mp4 68.1 MB
~Get Your Files Here !/9. Lecture 9 Activation Functions.mp4 66.8 MB
~Get Your Files Here !/1. Introduction to Biological Neuron.mp4 41.9 MB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.mp4 23.5 MB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.mp4 21.5 MB
~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.srt 28.3 kB
~Get Your Files Here !/9. Lecture 9 Activation Functions.srt 20.5 kB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.srt 20.4 kB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.srt 19.4 kB
~Get Your Files Here !/4. Lecture 4 DNN Notations.srt 14.5 kB
~Get Your Files Here !/7. Lecture 7 Memoization.srt 13.4 kB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.srt 12.8 kB
~Get Your Files Here !/1. Introduction to Biological Neuron.srt 9.4 kB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.srt 5.6 kB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.srt 5.3 kB
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- 【影视】 [FreeCourseSite.com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects
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[FreeCourseSite.com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects 49.3 GB
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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - AWS SageMaker Complete Course PyTorch & Tensorflow in NLP.zip
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[ DevCourseWeb.com ] Udemy - AWS SageMaker Complete Course PyTorch & Tensorflow in NLP.zip 2.4 GB
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- 【影视】 [DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp
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1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4 159.8 MB
13. Deployment/7. Flask Front End.mp4 156.9 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 155.3 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 151.2 MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 138.0 MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 137.4 MB
13. Deployment/8. Live Deployment to the Web.mp4 132.7 MB
7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 131.1 MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 123.2 MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
1. Course Overview, Installs, and Setup/2.1 FINAL_TF2_FILES.zip.zip 104.1 MB
1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip.zip 104.1 MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 98.7 MB
4. Pandas Crash Course/8. Data Input and Output.mp4 98.0 MB
5. Visualization Crash Course/3. Seaborn Basics.mp4 96.3 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Advanced Deep Learning with TensorFlow 2 and Keras- Apply DL Techniques, GANs, VAEs, deep RL, SSL, object detection.zip
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[ FreeCourseWeb.com ] Advanced Deep Learning with TensorFlow 2 and Keras- Apply DL Techniques, GANs, VAEs, deep RL, SSL, object detection.zip 365.3 MB
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- 【影视】 [GigaCourse.com] Udemy - CNN for Computer Vision with Keras and TensorFlow in R
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11. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.7 MB
9. R - Building and training the Model/1. Building, Compiling and Training.mp4 137.1 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
8. R - Dataset for classification problem/1. Data Normalization and Test-Train Split.mp4 117.2 MB
19. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
9. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.0 MB
2. Setting Up R Studio and R crash course/7. Creating Barplots in R.mp4 101.4 MB
16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.mp4 92.0 MB
10. The NeuralNets Package/1. ANN with NeuralNets Package.mp4 88.5 MB
2. Setting Up R Studio and R crash course/3. Packages in R.mp4 87.0 MB
14. Creating CNN model in R/3. Creating Model Architecture.mp4 75.1 MB
14. Creating CNN model in R/5. Model Performance.mp4 71.4 MB
13. CNN - Basics/5. Channels.mp4 71.1 MB
14. Creating CNN model in R/2. Data Preprocessing.mp4 70.3 MB
19. Transfer Learning in R/2. Project - Transfer Learning - VGG16 (Performance).mp4 67.3 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
12. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 63.3 MB
2. Setting Up R Studio and R crash course/6. Inputting data part 3 Importing from CSV or Text files.mp4 63.0 MB
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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB
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1. Course Overview, Installs, and Setup/3. Course Setup and Installation.mp4 159.8 MB
13. Deployment/7. Flask Front End.mp4 156.9 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 155.3 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 151.2 MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 138.0 MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 137.4 MB
13. Deployment/8. Live Deployment to the Web.mp4 132.7 MB
7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 131.1 MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 123.2 MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip 104.1 MB
1. Course Overview, Installs, and Setup/4.1 FINAL_TF2_FILES.zip 104.1 MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 98.7 MB
4. Pandas Crash Course/8. Data Input and Output.mp4 98.0 MB
5. Visualization Crash Course/3. Seaborn Basics.mp4 96.3 MB
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28小仙女思妍-仙女系列2.mp4 1.5 GB
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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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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
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[ FreeCourseWeb.com ] Udemy - Mobile Machine Learning for Android using Tensorflow lite.zip 2.1 GB
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1.5-Installation on WindowsLinux - Machine Learning with TensorFlow [Video].mp4 16.3 MB
3.4-The Graph Explorer - Machine Learning with TensorFlow [Video].mp4 15.7 MB
1.3-Installation on Mac OSX - Machine Learning with TensorFlow [Video].mp4 15.5 MB
3.3-Our Previous Project on TensorBoard - Machine Learning with TensorFlow [Video].mp4 12.7 MB
4.3-Programming a CNN - Machine Learning with TensorFlow [Video].mp4 11.7 MB
1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4 11.6 MB
1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4 11.2 MB
3.2-TensorBoard Events and Histograms - Machine Learning with TensorFlow [Video].mp4 11.0 MB
2.3-Understanding Matrix Conversions - Machine Learning with TensorFlow [Video].mp4 10.7 MB
1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4 10.4 MB
4.1-Convolutional Neural Networks - Machine Learning with TensorFlow [Video].mp4 10.0 MB
3.1-Getting Started with TensorBoard - Machine Learning with TensorFlow [Video].mp4 9.8 MB
4.2-Fully Connected Neural Networks - Machine Learning with TensorFlow [Video].mp4 9.1 MB
2.2-Automating Data Preparation - Machine Learning with TensorFlow [Video].mp4 9.0 MB
2.4-The Machine Learning Life Cycle - Machine Learning with TensorFlow [Video].mp4 8.0 MB
2.5-Reviewing Outputs and Results - Machine Learning with TensorFlow [Video].mp4 7.2 MB
4.4-CNN Versus Fully Connected Network Performance - Machine Learning with TensorFlow [Video].mp4 6.0 MB
2.1-The Hand-Written Letters Dataset - Machine Learning with TensorFlow [Video].mp4 5.5 MB
4.5-Using TensorBoard on Our CNN - Machine Learning with TensorFlow [Video].mp4 3.6 MB
MLwithTF-master-CODE/book_code/data_utils.py 32.5 kB
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video4_4.mp4 16.9 MB
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video5_2.mp4 14.5 MB
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video2_2.mp4 9.7 MB
video4_3.mp4 9.4 MB
video2_3.mp4 8.9 MB
video2_1.mp4 8.8 MB
video1_3.mp4 8.1 MB
video4_2.mp4 8.0 MB
video3_5.mp4 7.8 MB
video1_1.mp4 7.7 MB
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05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 77.8 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 72.9 MB
05.Getting Production-Ready with TensorFlow/0503.Debugging and Some Nice Practices in TensorFlow.mp4 71.7 MB
05.Getting Production-Ready with TensorFlow/0504.TensorFlow on Multiple Devices.mp4 58.2 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 55.2 MB
04.Deep Reinforcement Learning with TensorFlow/0403.Implementing DQN.mp4 49.6 MB
03.Balancing a Cartpole Using Q-Networks/0303.TensorFlow Basics.mp4 45.6 MB
02.Training a Smartcab Using Q-Learning/0201.The Taxi-v2 Environment.mp4 43.5 MB
05.Getting Production-Ready with TensorFlow/0501.Logging, Saving, and Visualizing.mp4 41.2 MB
02.Training a Smartcab Using Q-Learning/0205.Q-Learning Agent in Action.mp4 39.6 MB
03.Balancing a Cartpole Using Q-Networks/0304.Implementing Q-Network.mp4 38.4 MB
03.Balancing a Cartpole Using Q-Networks/0301.The Cartpole Environment.mp4 33.5 MB
02.Training a Smartcab Using Q-Learning/0204.Implementing Q-Learning.mp4 31.9 MB
01.Understanding the Reinforcement Learning Framework/0104.Setting Up Environments Using Open AI’s Gym Framework.mp4 29.4 MB
02.Training a Smartcab Using Q-Learning/0202.Operating Taxi-v2 Using a Dumb Agent.mp4 24.3 MB
03.Balancing a Cartpole Using Q-Networks/0305.Q-Network Agent in Action.mp4 18.4 MB
01.Understanding the Reinforcement Learning Framework/0101.The Course Overview.mp4 17.9 MB
03.Balancing a Cartpole Using Q-Networks/0302.Introducing Q-Networks.mp4 16.3 MB
01.Understanding the Reinforcement Learning Framework/0103.Common RL Tasks and the Reinforcement Process.mp4 16.2 MB
05.Getting Production-Ready with TensorFlow/0505.Next Steps.mp4 15.9 MB
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3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.mp4 23.2 MB
5.5. Machine Learning with Estimators/33.Coding a DNN estimator - Part 2.mp4 17.7 MB
5.5. Machine Learning with Estimators/35.Estimator automation in practice.mp4 16.6 MB
5.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.mp4 16.1 MB
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3.3. Training TensorFlow Applications/20.Using TensorBoard in practice.mp4 13.7 MB
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5.5. Machine Learning with Estimators/27.Understanding estimators.mp4 8.9 MB
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