- 【影视】 Convolutional Neural Networks with TensorFlow in Python
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- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/027 Confusion matrix and visualizing it with Tensorboard.mp4 114.8 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/024 Building and training the CNN.mp4 91.8 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/042 Trousers and Jeans - All.mp4 89.7 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/026 Tensorboard on the MNIST example.mp4 87.7 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/028 Using Tensorboard to tune hyperparameters.mp4 86.9 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/045 L2 regularization and Dropout.mp4 85.4 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/10 Understanding CNNs/047 Unexpected failures.mp4 76.4 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/051 GoogleNet - computational efficiency.mp4 74.8 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/022 A simple CNN architecture.mp4 73.0 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/009 Feature maps.mp4 70.9 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/023 Preprocessing the data.mp4 65.1 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/008 CNNs motivation.mp4 64.3 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/039 Primary classification task - Part 2.mp4 63.5 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/010 Pooling and Stride.mp4 60.7 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/01 Introduction to the course/001 What does the course cover_.mp4 60.7 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/041 Trousers and Jeans - discussion of approaches.mp4 56.1 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/02 Kernels/004 How do image transformations work_.mp4 55.3 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/052 ResNet - revolution of depth.mp4 52.2 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/035 The objective and the images.mp4 49.4 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/025 Testing the trained CNN.mp4 47.3 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Implement ML using TensorFlow 2.3 (Oct 2020).zip
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- 【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
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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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- 【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
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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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- ~Get Your Files Here !/5. Part 5 - TensorFlow Interview Questions & Answers/1. Part 5 - TensorFlow Interview Questions & Answers.mp4 275.4 MB
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- ~Get Your Files Here !/9. Part 9 - TensorFlow Interview Questions & Answers/1. Part 9 - TensorFlow Interview Questions & Answers.mp4 140.3 MB
- ~Get Your Files Here !/2. Part 2 - TensorFlow Interview Questions & Answers/1. Part 2 - TensorFlow Interview Questions & Answers.mp4 115.4 MB
- ~Get Your Files Here !/1. Part 1 - TensorFlow Interview Questions & Answers/1. Part 1 - TensorFlow Interview Questions & Answers.mp4 113.8 MB
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- ~Get Your Files Here !/3. Part 3 - TensorFlow Interview Questions & Answers/1. Part 3 - TensorFlow Interview Questions & Answers.srt 17.2 kB
- ~Get Your Files Here !/1. Part 1 - TensorFlow Interview Questions & Answers/1. Part 1 - TensorFlow Interview Questions & Answers.srt 17.0 kB
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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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- 【影视】 A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras
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- 4. Image Processing & Model Training/7. Training a Model.mp4 114.7 MB
- 5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 112.7 MB
- 5. Convolution & Pooling/6. Neural Network Attention.mp4 112.4 MB
- 6. Text Analytics/2. Natural Language Processing.mp4 97.5 MB
- 3. Linear Regression/8. Learning Rate & Gradients.mp4 91.5 MB
- 6. Text Analytics/5. Reinforcement Learning.mp4 85.5 MB
- 6. Text Analytics/4. Long Short Term Memory.mp4 84.9 MB
- 4. Image Processing & Model Training/8. Comparing Different Models.mp4 80.8 MB
- 3. Linear Regression/3. Tensorflow Architecture.mp4 79.7 MB
- 6. Text Analytics/1. Detecting Good & Bad Reviews.mp4 78.8 MB
- 5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 78.8 MB
- 5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 71.3 MB
- 4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 70.9 MB
- 6. Text Analytics/3. Sentiment Analysis.mp4 69.4 MB
- 3. Linear Regression/9. Learning Rate vs Steps.mp4 67.8 MB
- 4. Image Processing & Model Training/9. Principal Component Analysis.mp4 64.6 MB
- 2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 61.2 MB
- 4. Image Processing & Model Training/1. Image Processing with Keras.mp4 60.0 MB
- 3. Linear Regression/5. Plotting Data with Noise.mp4 59.7 MB
- 4. Image Processing & Model Training/5. Understanding the Model.mp4 57.2 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
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- 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
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- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/001. Sequence Data.mp4 73.6 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/008. RNN for Time Series Prediction.mp4 58.0 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/003. Autoregressive Linear Model for Time Series Prediction.mp4 56.4 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/018. Stock Return Predictions Using LSTMs (Part 3).mp4 56.3 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/016. Stock Return Predictions Using LSTMs (Part 1).mp4 53.6 MB
- Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 50.2 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/012. A More Challenging Sequence.mp4 48.3 MB
- Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 48.1 MB
- Chapter 3 Natural Language Processing (NLP)/004. Text Classification with LSTMs.mp4 42.7 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/009. Paying Attention to Shapes.mp4 41.5 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/006. Recurrent Neural Networks (Elman Unit Part 2).mp4 33.2 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/005. Recurrent Neural Networks (Elman Unit Part 1).mp4 33.0 MB
- Chapter 1 Welcome/002. Outline.mp4 30.5 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
- Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/014. RNN for Image Classification (Theory).mp4 24.3 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/019. Other Ways to Forecast.mp4 21.3 MB
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