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【影视】 [FreeAllCourse.Com] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp

收录时间:2020-03-29 文档个数:235 文档大小:7.2 GB 最近下载:2025-01-26 人气:688 磁力链接

01 Course Overview Installs and Setup/002 Course Setup and Installation.mp4 159.8 MB
13 Deployment/114 Flask Front End.mp4 156.9 MB
09 Recurrent Neural Networks - RNNs/088 Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
09 Recurrent Neural Networks - RNNs/087 RNN Exercise - Solutions.mp4 155.3 MB
07 Basic Artificial Neural Networks - ANNs/057 Tensorboard.mp4 151.2 MB
07 Basic Artificial Neural Networks - ANNs/050 Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
07 Basic Artificial Neural Networks - ANNs/042 Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
12 Generative Adversarial Networks/106 Creating a GAN - Part Three - Model Training.mp4 138.0 MB
09 Recurrent Neural Networks - RNNs/085 RNN on a Time Series - Part Two.mp4 137.4 MB
13 Deployment/115 Live Deployment to the Web.mp4 132.7 MB
07 Basic Artificial Neural Networks - ANNs/053 Keras Project Solutions - Categorical Data.mp4 131.1 MB
11 AutoEncoders/098 Autoencoder for Dimensionality Reduction.mp4 123.2 MB
07 Basic Artificial Neural Networks - ANNs/047 Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
01 Course Overview Installs and Setup/002 FINAL-TF2-FILES.zip 104.1 MB
01 Course Overview Installs and Setup/003 FINAL-TF2-FILES.zip 104.1 MB
08 Convolutional Neural Networks - CNNs/064 CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
07 Basic Artificial Neural Networks - ANNs/051 Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
11 AutoEncoders/099 Autoencoder for Images - Part One.mp4 98.7 MB
04 Pandas Crash Course/017 Data Input and Output.mp4 98.0 MB
05 Visualization Crash Course/022 Seaborn Basics.mp4 96.3 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

猜你喜欢： Machine Keras Practical Learning TensorFlow 2.0 Guide

【影视】 [FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2020-04-02 文档个数:247 文档大小:7.5 GB 最近下载:2025-02-18 人气:3791 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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【影视】 [FreeCoursesOnline.Me] [Packtpub.Com] Building Machine Learning Systems with TensorFlow - [FCO]

收录时间:2020-04-03 文档个数:48 文档大小:620.8 MB 最近下载:2025-02-05 人气:2192 磁力链接

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
Chapter 5 - Simple FeedForward Neural Networks/21. First Project Non-Linear Synthetic Function Regression.mp4 14.3 MB
Chapter 5 - Simple FeedForward Neural Networks/20. Preliminary Concepts.mp4 14.0 MB

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

收录时间:2020-04-06 文档个数:1 文档大小:2.4 GB 最近下载:2024-08-21 人气:975 磁力链接

[ FreeCourseWeb.com ] A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras.zip 2.4 GB

猜你喜欢： Machine zip Keras Practical FreeCourseWeb Learning TensorFlow 2.0 com Guide

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

收录时间:2020-04-08 文档个数:1 文档大小:2.4 GB 最近下载:2024-08-18 人气:1185 磁力链接

[ FreeCourseWeb.com ] A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras.zip 2.4 GB

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【影视】 [DesireCourse.Net] Udemy - Deep Learning with TensorFlow 2.0 [2020]

收录时间:2020-04-08 文档个数:304 文档大小:2.0 GB 最近下载:2025-01-06 人气:1117 磁力链接

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
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 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
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 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
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 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
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning with TensorFlow 2.0 [2020]

收录时间:2020-04-12 文档个数:299 文档大小:2.0 GB 最近下载:2025-02-05 人气:1031 磁力链接

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
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 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
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 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
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 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
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB

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

收录时间:2020-04-14 文档个数:199 文档大小:2.5 GB 最近下载:2024-05-27 人气:90 磁力链接

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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【影视】 [FreeCoursesOnline.Me] [Packtpub.Com] Real-World Machine Learning Projects Using TensorFlow - [FCO]

收录时间:2020-04-16 文档个数:21 文档大小:512.5 MB 最近下载:2025-02-18 人气:1832 磁力链接

05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
02.Linear Regression with One Variable/0201.What Is Machine Learning.mp4 19.8 MB
02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
01.Getting Started with TensorFlow/0102.Installing and Preparing the Environment.mp4 10.2 MB
04.Anomaly Detection Algorithm/0401.What Is Anomaly Detection.mp4 5.5 MB
05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4 3.7 MB
03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
03.Linear Regression with Multi Variable/0302.Problem Statement.mp4 1.5 MB
Exercise Files/exercise_files.zip 208.3 kB
Discuss.FreeTutorials.Us.html 169.7 kB
FreeCoursesOnline.Me.html 110.9 kB
FreeTutorials.Eu.html 104.7 kB
[TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
How you can help Team-FTU.txt 259 Bytes

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【其他】 Addison.Wesley.Professional.Deep.Learning.with.TensorFlow.Keras.and.PyTorch.Sneak.Peak-RiDWARE

收录时间:2020-04-21 文档个数:28 文档大小:1.3 GB 最近下载:2021-05-01 人气:2 磁力链接

addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r00 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r01 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r02 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r03 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r04 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r05 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r06 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r07 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r08 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r09 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r10 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r11 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r12 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r13 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r14 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r15 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r16 50.0 MB
addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r17 50.0 MB
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addison.wesley.professional.deep.learning.with.tensorflow.keras.and.pytorch.sneak.peak-ridware.r19 50.0 MB

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【其他】 Pluralsight.Angular.Denver.19.Machine.Learning.In.Angular.With.TensorFlow.Js-REBAR

收录时间:2020-04-24 文档个数:8 文档大小:84.0 MB 最近下载:2025-02-17 人气:101 磁力链接

rebar-angular.denver.19.machine.learning.in.angular.with.tensorflow.js.r00 15.0 MB
rebar-angular.denver.19.machine.learning.in.angular.with.tensorflow.js.r01 15.0 MB
rebar-angular.denver.19.machine.learning.in.angular.with.tensorflow.js.r02 15.0 MB
rebar-angular.denver.19.machine.learning.in.angular.with.tensorflow.js.r03 15.0 MB
rebar-angular.denver.19.machine.learning.in.angular.with.tensorflow.js.rar 15.0 MB
rebar-angular.denver.19.machine.learning.in.angular.with.tensorflow.js.r04 9.0 MB
rebar-angular.denver.19.machine.learning.in.angular.with.tensorflow.js.sfv 510 Bytes
rebar-angular.denver.19.machine.learning.in.angular.with.tensorflow.js.nfo 222 Bytes

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

收录时间:2020-04-27 文档个数:297 文档大小:1.5 GB 最近下载:2025-02-09 人气:1002 磁力链接

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】 [GigaCourse.com] Udemy - CNN for Computer Vision with Keras and TensorFlow in R

收录时间:2020-04-28 文档个数:107 文档大小:2.9 GB 最近下载:2025-02-18 人气:3712 磁力链接

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
17. Project Data Augmentation for avoiding overfitting/1. Project in R - Data Augmentation.mp4 59.1 MB

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【压缩文件】 [ FreeCourseWeb.com ] Skillshare - What are Tensors in Tensorflow- Master the basics.zip

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[ FreeCourseWeb.com ] Skillshare - What are Tensors in Tensorflow- Master the basics.zip 724.4 MB

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【其他】 Packt.Machine.Learning.Projects.with.TensorFlow.2.0-XQZT

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【影视】 [GigaCourse.com] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python

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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/17. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB

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【影视】 [GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R

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15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
19. Test Train Split/4. Test train split in R.mp4 79.3 MB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 73.7 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB

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【压缩文件】 tensorflow-machine-learning-deep-learning-python.zip

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tensorflow-machine-learning-deep-learning-python.zip 7.6 GB

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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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