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[ FreeCourseWeb.com ] Udemy - Machine Learning in JavaScript with TensorFlow.js.zip 2.6 GB
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~Get Your Files Here !/1 - Fundamentals/5 - Applications.mp4 46.8 MB
~Get Your Files Here !/1 - Fundamentals/4 - Why Should we Learn.mp4 37.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/28 - Calculates the total loss.mp4 26.5 MB
~Get Your Files Here !/1 - Fundamentals/2 - What is Neural Style Transfer.mp4 21.4 MB
~Get Your Files Here !/1 - Fundamentals/1 - Introduction.mp4 21.0 MB
~Get Your Files Here !/1 - Fundamentals/3 - About this Project.mp4 15.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/9 - Contents in Directory.mp4 14.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/32 - Perform the style transfer optimization loop.mp4 13.4 MB
~Get Your Files Here !/2 - Model Building and Prediction/11 - Checking the availability and usage of GPUs.mp4 11.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/14 - Setting the directory path.mp4 11.7 MB
~Get Your Files Here !/2 - Model Building and Prediction/33 - Save and display the final generated image.mp4 10.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/18 - Convert the generated image back to its original format.mp4 10.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/31 - Preprocess the base image style reference image and combination image.mp4 9.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/17 - Preprocesses an image.mp4 9.5 MB
~Get Your Files Here !/2 - Model Building and Prediction/13 - Necessary library imports.mp4 9.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/8 - Setup the Working Directory.mp4 9.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/19 - Calculate the Gram matrix.mp4 9.0 MB
~Get Your Files Here !/2 - Model Building and Prediction/10 - Activate GPU.mp4 8.7 MB
~Get Your Files Here !/1 - Fundamentals/6 - Why Keras and Python.mp4 8.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/20 - Calculates the style loss.mp4 8.0 MB
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01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB
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~Get Your Files Here !/3. Transfer Learning/011. Transfer learning with TensorFlow Hub.mp4 48.6 MB
~Get Your Files Here !/4. Monitoring the Training Process/016. Using TensorBoard.mp4 42.3 MB
~Get Your Files Here !/4. Monitoring the Training Process/014. Using ModelCheckpoint.mp4 39.0 MB
~Get Your Files Here !/2. Neural Networks and Images/004. Review of neural networks.mp4 36.5 MB
~Get Your Files Here !/2. Neural Networks and Images/007. Solution Experiment with hyperparameters.mp4 32.3 MB
~Get Your Files Here !/2. Neural Networks and Images/005. Working with color images and neural networks.mp4 29.6 MB
~Get Your Files Here !/3. Transfer Learning/012. TensorFlow Hub for CIFAR-10.mp4 24.2 MB
~Get Your Files Here !/1. Introduction/003. What is TensorFlow.mp4 23.1 MB
~Get Your Files Here !/3. Transfer Learning/009. TensorFlow Hub.mp4 22.1 MB
~Get Your Files Here !/2. Neural Networks and Images/006. Challenge Experiment with hyperparameters.mp4 16.8 MB
~Get Your Files Here !/3. Transfer Learning/010. What is transfer learning.mp4 14.8 MB
~Get Your Files Here !/3. Transfer Learning/008. Why the poor performance with neural networks.mp4 11.0 MB
~Get Your Files Here !/4. Monitoring the Training Process/013. Monitoring the training process.mp4 7.8 MB
~Get Your Files Here !/4. Monitoring the Training Process/015. Working with EarlyStopping.mp4 7.5 MB
~Get Your Files Here !/1. Introduction/001. Work with gray and color images using transfer learning and fine-tuning.mp4 5.9 MB
~Get Your Files Here !/1. Introduction/002. What you should know.mp4 4.0 MB
~Get Your Files Here !/5. Conclusion/017. Next steps.mp4 3.4 MB
~Get Your Files Here !/3. Transfer Learning/011. Transfer learning with TensorFlow Hub.en.srt 9.2 kB
~Get Your Files Here !/4. Monitoring the Training Process/016. Using TensorBoard.en.srt 8.2 kB
~Get Your Files Here !/2. Neural Networks and Images/004. Review of neural networks.en.srt 7.0 kB
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[Udemy] TensorFlow Developer Certificate in 2021 Zero to Mastery [Updated 7-2021] [En] 36.6 GB
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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Mobile Machine Learning for Android using Tensorflow lite.zip
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[ FreeCourseWeb.com ] Udemy - Mobile Machine Learning for Android using Tensorflow lite.zip 2.1 GB
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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
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[ FreeCourseWeb.com ] Packt - Applied Deep Learning with TensorFlow and Google Cloud AI.zip 1.9 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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00009 Working_with_Skip-Gram_Embeddings.mp4 30.5 MB
00007 Working_with_Bag-of-Words.mp4 27.1 MB
00013 Applying_Stylenet_Neural-Style.mp4 25.8 MB
00006 Learning_to_Play_Tic-Tac-Toe.mp4 22.2 MB
00014 Implementing_RNN_for_Spam_Prediction.mp4 22.0 MB
00010 Working_with_CBOW_Embeddings.mp4 21.2 MB
00012 Implementing_an_Advanced_CNN.mp4 20.5 MB
00005 Implementing_Different_Layers.mp4 19.7 MB
00008 Implementing_TF-IDF.mp4 19.2 MB
00024 Working_with_a_Genetic_Algorithm.mp4 18.1 MB
00023 Visualizing_Graphs_in_TensorBoard.mp4 16.6 MB
00017 Training_a_Siamese_Similarity_Measure.mp4 16.6 MB
00011 Implementing_a_Simpler_CNN.mp4 15.7 MB
00015 Implementing_an_LSTM_Model.mp4 15.3 MB
00025 Clustering_Using_K-Means.mp4 13.0 MB
00002 Implementing_Operational_Gates.mp4 12.8 MB
00003 Working_with_Gates_and_Activation_Functions.mp4 11.8 MB
00004 Implementing_a_One-Layer_Neural_Network.mp4 11.6 MB
00018 Implementing_Unit_Tests.mp4 10.2 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
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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
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- 【影视】 Build, Train, and Deploy Your First Neural Network with TensorFlow (Jerry Kurata, 2020)
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收录时间:2022-05-20
文档个数:125
文档大小:362.4 MB
最近下载:2025-02-19
人气:9260
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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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