tensorflow - 磁力狗 - 最好用的磁力种子搜索引擎

【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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【影视】 TensorFlow 2 for Deep Learning Specialization

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TensorFlow 2 for Deep Learning Specialization 1.7 GB

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【影视】 TensorFlow 2 for Deep Learning Specialization

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TensorFlow 2 for Deep Learning Specialization 1.7 GB

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【影视】 [FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

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【影视】 [DesireCourse.Net] Udemy - Master Deep Learning with TensorFlow in Python

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Object Detection with Tensorflow Fast Track Course ML

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~Get Your Files Here !/09 - Deployment of model on Webcam, Android and Video Feed/001 Deployment - Android, Webcam and Video Feed.mp4 227.5 MB
~Get Your Files Here !/03 - Tensorflow GPU installation Part 2 (Optional)/001 Tensorflow GPU installation - NVIDIA Graphic Card Configutation.mp4 208.5 MB
~Get Your Files Here !/05 - Custom Dataset Preparation/001 Dataset Preparation & Labelling tool.mp4 163.3 MB
~Get Your Files Here !/08 - Export Trained graph/001 Export training into graph and test on Web server.mp4 163.2 MB
~Get Your Files Here !/02 - Tensorflow Installation Part 1/001 Tensorflow CPU installation Python Package AnacondaMiniconda.mp4 155.3 MB
~Get Your Files Here !/06 - Dataset Conversion/001 Convert dataset to TF-Record (Binary Conversion).mp4 149.7 MB
~Get Your Files Here !/07 - Training the Model/001 Training the model (TF record).mp4 138.4 MB
~Get Your Files Here !/01 - Introduction/001 Introduction to Roadmap of the Course.mp4 99.0 MB
~Get Your Files Here !/04 - Tensorflow Framework/001 Tensorflow Garden Repository Installation.mp4 72.0 MB
~Get Your Files Here !/01 - Introduction/36911390-1.Introduction-to-the-Object-Detection-Course.pptx 13.3 MB
~Get Your Files Here !/02 - Tensorflow Installation Part 1/38013664-Course-Files.pdf 1.0 MB
~Get Your Files Here !/03 - Tensorflow GPU installation Part 2 (Optional)/35731396-Course-Files.pdf 1.0 MB
~Get Your Files Here !/04 - Tensorflow Framework/35731398-Course-Files.pdf 1.0 MB
~Get Your Files Here !/05 - Custom Dataset Preparation/35731402-Course-Files.pdf 1.0 MB
~Get Your Files Here !/06 - Dataset Conversion/35731404-Course-Files.pdf 1.0 MB
~Get Your Files Here !/07 - Training the Model/35731406-Course-Files.pdf 1.0 MB
~Get Your Files Here !/08 - Export Trained graph/35731408-Course-Files.pdf 1.0 MB
~Get Your Files Here !/09 - Deployment of model on Webcam, Android and Video Feed/35731410-Course-Files.pdf 1.0 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

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【影视】 [ CoursePig.com ] Udemy - Complete Python + Tensorflow Course 2021

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~Get Your Files Here !/1. Deep Learning Basics.mp4 173.0 MB
~Get Your Files Here !/12. Transfer Learning.mp4 136.6 MB
~Get Your Files Here !/2. Basic Maths for Deep Learning.mp4 117.8 MB
~Get Your Files Here !/14. Augmentation.mp4 115.1 MB
~Get Your Files Here !/9. Augmentation Technique.mp4 115.1 MB
~Get Your Files Here !/16. Recurrent neural networks.mp4 109.2 MB
~Get Your Files Here !/3. Python Introduction.mp4 76.1 MB
~Get Your Files Here !/10. Deep Learning Part 1.mp4 68.9 MB
~Get Your Files Here !/17. Long Short-Term Memory RNN.mp4 68.8 MB
~Get Your Files Here !/13. TensorBoard.mp4 61.6 MB
~Get Your Files Here !/11. Deep Learning Part 2.mp4 58.3 MB
~Get Your Files Here !/5. Set Data Type.mp4 54.9 MB
~Get Your Files Here !/6. Convolutional Neural Network.mp4 53.3 MB
~Get Your Files Here !/7. Adam's Optimiser.mp4 38.0 MB
~Get Your Files Here !/4. List Tuple Data Types.mp4 38.0 MB
~Get Your Files Here !/8. Custom CallBacks.mp4 35.5 MB
~Get Your Files Here !/15. Bi- Directional RNN.mp4 33.1 MB
~Get Your Files Here !/1. Deep Learning Basics.srt 44.1 kB
~Get Your Files Here !/2. Basic Maths for Deep Learning.srt 30.7 kB
~Get Your Files Here !/3. Python Introduction.srt 23.3 kB

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【影视】 [ FreeCourseWeb.com ] Udemy - TensorFlow Interview Questions & Answers

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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
~Get Your Files Here !/6. Part 6 - TensorFlow Interview Questions & Answers/1. Part 6 - TensorFlow Interview Questions & Answers.mp4 207.7 MB
~Get Your Files Here !/4. Part 4 - TensorFlow Interview Questions & Answers/1. Part 4 - TensorFlow Interview Questions & Answers.mp4 168.8 MB
~Get Your Files Here !/3. Part 3 - TensorFlow Interview Questions & Answers/1. Part 3 - TensorFlow Interview Questions & Answers.mp4 146.3 MB
~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
~Get Your Files Here !/7. Part 7 - TensorFlow Interview Questions & Answers/1. Part 7 - TensorFlow Interview Questions & Answers.mp4 108.1 MB
~Get Your Files Here !/8. Part 8 - TensorFlow Interview Questions & Answers/1. Part 8 - TensorFlow Interview Questions & Answers.mp4 76.7 MB
~Get Your Files Here !/5. Part 5 - TensorFlow Interview Questions & Answers/1. Part 5 - TensorFlow Interview Questions & Answers.srt 33.5 kB
~Get Your Files Here !/6. Part 6 - TensorFlow Interview Questions & Answers/1. Part 6 - TensorFlow Interview Questions & Answers.srt 27.4 kB
~Get Your Files Here !/9. Part 9 - TensorFlow Interview Questions & Answers/1. Part 9 - TensorFlow Interview Questions & Answers.srt 17.6 kB
~Get Your Files Here !/4. Part 4 - TensorFlow Interview Questions & Answers/1. Part 4 - TensorFlow Interview Questions & Answers.srt 17.4 kB
~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
~Get Your Files Here !/2. Part 2 - TensorFlow Interview Questions & Answers/1. Part 2 - TensorFlow Interview Questions & Answers.srt 16.3 kB
~Get Your Files Here !/7. Part 7 - TensorFlow Interview Questions & Answers/1. Part 7 - TensorFlow Interview Questions & Answers.srt 12.6 kB
~Get Your Files Here !/8. Part 8 - TensorFlow Interview Questions & Answers/1. Part 8 - TensorFlow Interview Questions & Answers.srt 9.9 kB
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
Get Bonus Downloads Here.url 183 Bytes

猜你喜欢： Answers Udemy FreeCourseWeb Questions Interview TensorFlow com

【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning with Tensorflow and Pytorch (Tutorial Ongoing)

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~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
~Get Your Files Here !/1. Introduction/2. Quick Demo of whisper+gradio speech to text conversion!.mp4 17.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/2. Install Tensorflow and Pytorch- Steps.mp4 11.9 MB

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【影视】 [CourseClub.Me] Coursera - TensorFlow Data and Deployment Specialization

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[CourseClub.Me] Coursera - TensorFlow Data and Deployment Specialization 1.3 GB

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【影视】 Deep Learning - Artificial Neural Networks with Tensorflow

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Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 64.7 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4 58.7 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4 56.1 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4 52.0 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4 50.7 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 50.0 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 46.9 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 44.2 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 44.1 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 42.4 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 42.1 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 41.3 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 40.4 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 35.7 MB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 35.6 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 35.4 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 34.2 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 31.8 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 31.2 MB
Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4 30.2 MB

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【影视】 The Magic of Deep Learning with TensorFlow 2

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The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/2. Machine Learning Algorithm Part 1.mp4 113.0 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/5. Buidling the Second Module classifier.py with TensorFlow 2.mp4 105.0 MB
The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/3. Machine Learning Algorithm Part 2.mp4 100.1 MB
The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/1. Detecting the faces in Vidoes Part 1.mp4 86.3 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/3. Buidling the First Module preprocessing.py with TensorFlow 2 part 2.mp4 78.5 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/4. Buidling the First Module preprocessing.py with TensorFlow 2 part 3.mp4 72.8 MB
The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/3. Preprocessing Image Part 1.mp4 71.9 MB
The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/2. Detecting the faces in Vidoes Part 2.mp4 67.1 MB
The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/2. The dataset creation.mp4 60.9 MB
The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/3. Labelling the dataset and generate the annotation XML file.mp4 50.7 MB
The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/1. Diffrence Between TensorFlow 1.x and TensorFlow 2 Part 1.mp4 49.3 MB
The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2 Part 2.mp4 48.4 MB
The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/3. Yolo Object detector live stream.mp4 42.2 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/2. Buidling the First Module preprocessing.py with TensorFlow 2 part 1.mp4 32.5 MB
The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/1. Installing TensorFlow 2.mp4 27.9 MB
The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/4. Preprocessing Image Part 2.mp4 24.4 MB
The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/4. Modifying and training your custom Yolo detector for the new object.mp4 20.6 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/1. Introduction.mp4 16.1 MB
The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/6. Buidling the Third Module data_preprocesses.py with TensorFlow 2.mp4 7.2 MB
The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/1. Introduction.mp4 5.1 MB

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【影视】 Deep Learning - Recurrent Neural Networks with TensorFlow

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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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【影视】 Deep Learning - Convolutional Neural Networks with TensorFlow

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Chapter 2 Convolutional Neural Networks (CNNs)/005. CNN Architecture.mp4 65.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/006. CNN Code Preparation.mp4 62.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/011. Improving CIFAR-10 Results.mp4 58.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/004. Convolution on Color Images.mp4 58.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/001. What Is Convolution (Part 1).mp4 57.9 MB
Chapter 4 Transfer Learning for Computer Vision/005. Transfer Learning Code (Part 1).mp4 52.2 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 49.2 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 45.4 MB
Chapter 4 Transfer Learning for Computer Vision/001. Transfer Learning Theory.mp4 44.6 MB
Chapter 4 Transfer Learning for Computer Vision/006. Transfer Learning Code (Part 2).mp4 39.0 MB
Chapter 2 Convolutional Neural Networks (CNNs)/007. CNN for Fashion MNIST.mp4 36.2 MB
Chapter 3 Natural Language Processing (NLP)/005. Text Classification with CNNs.mp4 33.6 MB
Chapter 4 Transfer Learning for Computer Vision/003. Large Datasets and Data Generators.mp4 33.6 MB
Chapter 3 Natural Language Processing (NLP)/004. CNNs for Text.mp4 31.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/009. Data Augmentation.mp4 31.2 MB
Chapter 4 Transfer Learning for Computer Vision/002. Some Pre-Trained Models (VGG, ResNet, Inception, MobileNet).mp4 27.5 MB
Chapter 2 Convolutional Neural Networks (CNNs)/008. CNN for CIFAR-10.mp4 26.1 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.0 MB
Chapter 1 Welcome/002. Outline.mp4 24.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/003. What Is Convolution (Part 3).mp4 23.5 MB

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Tensorflow 11 建造神经网络.mp4 67.9 MB
Tensorflow 20.3 RNN lstm (regression 回归例子).mp4 62.1 MB
Tensorflow 14 可视化好帮手1.mp4 61.5 MB
Tensorflow 19 Saver保存读取.mp4 60.8 MB
Tensorflow 18-2 CNN卷积神经网络2.mp4 55.8 MB
Tensorflow 20.2 RNN 循环神经网络 (分类例子).mp4 55.8 MB
Tensorflow 17 dropout 解决overfitting 问题.mp4 44.2 MB
Tensorflow 22 scope 命名方式.mp4 42.9 MB
Tensorflow 23 Batch normalization 批标准化.mp4 38.8 MB
Tensorflow 16 分类学习.mp4 36.6 MB
Tensorflow 9 激励函数.mp4 35.8 MB
Tensorflow 10 添加层.mp4 32.4 MB
Tensorflow 18-3 CNN卷积神经网络3.mp4 32.3 MB
Tensorflow 5 例子2.mp4 31.9 MB
Tensorflow 21 Autoencoder (非监督学习).mp4 30.7 MB
Tensorflow 18-1 CNN卷积神经网络1.mp4 30.0 MB
Tensorflow 20.1 RNN 循环神经网络.mp4 29.6 MB
Tensorflow 15 可视化好帮手2.mp4 27.6 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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~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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06. Operationalize the model/04. Lab 4 demo and review.mp4 62.1 MB
06. Operationalize the model/09. Lab 5 demo and review.mp4 61.0 MB
05. Build the Model/04. Lab 3 -demo and review.mp4 59.7 MB
04. Create the dataset/04. Lab 2-demo and review.mp4 49.7 MB
07. Summary/01. Summary.mp4 39.6 MB
06. Operationalize the model/12. Lab Solution BigQuery ML.mp4 37.0 MB
06. Operationalize the model/16. Lab 6 -demo and review.mp4 35.1 MB
01. Welcome to the Course/02. Course Introduction.mp4 33.9 MB
06. Operationalize the model/18. Lab 7 -demo and review.mp4 30.7 MB
03. Explore the Data/07. Lab 1 demo and review.mp4 30.3 MB
03. Explore the Data/01. Exploring the dataset.mp4 27.6 MB
05. Build the Model/01. Build the model.mp4 27.5 MB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.mp4 26.8 MB
01. Welcome to the Course/01. Intro to Specialization.mp4 19.2 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.mp4 18.0 MB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.mp4 17.7 MB
04. Create the dataset/01. Creating a dataset.mp4 17.6 MB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.mp4 16.6 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.mp4 14.6 MB
06. Operationalize the model/01. Operationalizing the model.mp4 14.5 MB

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Chapter 7 - Recurrent Neural Networks and LSTM/35. Writing Music a la Bach.mp4 47.1 MB
Chapter 1 - Exploring and Transforming data/04. Basic Tensor Methods.mp4 38.7 MB
Chapter 4 - Logistic Regression/18. Univariate Logistic Regression.mp4 33.2 MB
Chapter 1 - Exploring and Transforming data/02. TensorFlow's Main Data Structure Tensors.mp4 28.5 MB
Chapter 3 - Linear Regression/14. Univariate Linear Regression.mp4 26.5 MB
Chapter 1 - Exploring and Transforming data/05. How TensorBoard Works.mp4 25.8 MB
Chapter 1 - Exploring and Transforming data/06. Reading Information from Disk.mp4 22.9 MB
Chapter 3 - Linear Regression/15. Multivariate Linear Regression.mp4 22.6 MB
Chapter 2 - Clustering/10. Project 1 k-Means Clustering on Synthetic Datasetsets.mp4 20.4 MB
Chapter 2 - Clustering/09. k-Nearest Neighbor.mp4 19.8 MB
Chapter 1 - Exploring and Transforming data/01. The Course Overview.mp4 19.5 MB
Chapter 6 - Convolutional Neural Networks/25. Applying Convolution in TensorFlow.mp4 18.8 MB
Chapter 6 - Convolutional Neural Networks/29. MNIST Digit Classification.mp4 18.7 MB
Chapter 1 - Exploring and Transforming data/03. Handling the Computing Workflow TensorFlow's Data Flow Graph.mp4 17.0 MB
Chapter 5 - Simple FeedForward Neural Networks/22. Second Project Modeling Cars Fuel Efficiency with Non-Linear.mp4 16.4 MB
Chapter 8 - Deep Neural Networks/40. Painting with Style VGG Style Transfer.mp4 16.2 MB
Chapter 7 - Recurrent Neural Networks and LSTM/34. Univariate Time Series Prediction with Energy Consumption Data.mp4 14.5 MB
Chapter 9 - Library Installation And Additional Tips/42. mac OS Installation.mp4 14.3 MB
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~Get Your Files Here !/1 - INTRODUCTION TO COURSE/2 - CREATING DATASET FOR FACE RECOGNITION.mp4 172.1 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/4 - VALIDATE THE TRAINED MODEL.mp4 91.7 MB
~Get Your Files Here !/2 - INTRODUCTION TO Face Recognition Using TesnsorFlow And Keras/8 - OUTPUT FOR FACE RECOGNITION AND CONCLUSION.mp4 86.8 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/5 - DOWNLOAD THE TENSORFLOW AND KERAS MODEL.mp4 74.2 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/3 - TRAIN THE DATASET AND ITS FEATURES.mp4 55.8 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/1 - Introduction To Teachable Machine.mp4 45.7 MB
~Get Your Files Here !/1 - INTRODUCTION TO COURSE/6 - EXTRACT THE KERAS MODEL AND LABELS.mp4 39.2 MB
~Get Your Files Here !/2 - INTRODUCTION TO Face Recognition Using TesnsorFlow And Keras/7 - INSTALL PACKAGES AND EXECUTE PROJECT IN PYCHARM IDE.mp4 25.0 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
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