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【压缩文件】 [ DevCourseWeb.com ] Udemy - Beginners Machine Learning Masterclass with Tensorflow Js.zip

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[ DevCourseWeb.com ] Udemy - Beginners Machine Learning Masterclass with Tensorflow Js.zip 3.4 GB

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【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning - Neural Networks With Tensorflow

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~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/36 - Preprocessing the Text Data.mp4 181.8 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/2 - Scenario of Perceptron.mp4 165.6 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/5 - Initializing the Model.mp4 148.7 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/13 - Advance Concept of Transfer Learning Part 1.mp4 147.1 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/24 - Installation of Tensorflow.mp4 139.0 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/11 - Listing Directories.mp4 115.5 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/40 - Loading Features for Train and Test Dataset.mp4 114.1 MB
~Get Your Files Here !/2 - Project On Tensorflow Face Mask Detection Application/18 - Load Data Pretrained Mode.mp4 100.7 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/49 - Deploy Streamlit on AWS EC2 Instance.mp4 100.0 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/25 - Basic Data Types for Tensorflow.mp4 99.2 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/28 - Optimization of Variable.mp4 96.3 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/37 - PreProcess and Load Captions Data.mp4 88.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/9 - Classifying the Photos of Dogs and Cats.mp4 88.3 MB
~Get Your Files Here !/2 - Project On Tensorflow Face Mask Detection Application/17 - Package Installation.mp4 85.3 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/14 - Advance Concept of Transfer Learning Part 2.mp4 82.8 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/45 - Test the Model.mp4 81.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/1 - Overview of DLUT.mp4 76.7 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/34 - Accessing the Caption Dataset for Training.mp4 76.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/3 - Creating Neural Network Using TensorFlow.mp4 76.0 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/12 - Import Image Data Generator.mp4 75.6 MB

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【影视】 [DesireCourse.Net] 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/13. 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/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. 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/7. 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 - 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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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python.zip

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[ FreeCourseWeb.com ] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python.zip 3.2 GB

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【压缩文件】 [ FreeCourseWeb.com ] Complete Tensorflow Lite course for Android App Development (7 - 2020).zip

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[ FreeCourseWeb.com ] Complete Tensorflow Lite course for Android App Development (7 - 2020).zip 3.0 GB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Machine Learning - Linear Regression using TensorFlow Python.zip

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[ DevCourseWeb.com ] Udemy - Machine Learning - Linear Regression using TensorFlow Python.zip 2.9 GB

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【影视】 Tensorflow 2 & KerasDeep Learning & Artificial Intelligence

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[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/8. Transfer Learning/2. Data Augmentation.mp4 102.1 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/10. Generative Deep Learning/2. Neural Style Transfer Implementation part 1.mp4 92.2 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/9. GAN/3. DCGAN Project.mp4 91.0 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/5. CNN Neural Network/6. facial expression recognition 1.mp4 87.7 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/8. Transfer Learning/1. CNN Transfer Learning.mp4 84.6 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/5. CNN Neural Network/4. cat dog classification.mp4 83.5 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/10. Generative Deep Learning/3. Neural Style Transfer Implementation part 2.mp4 80.0 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/5. CNN Neural Network/8. leaf diseases 1.mp4 77.6 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/6. RNN/3. Text classification.mp4 75.0 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/7. Autoencoders/1. Introduction to Autoencoders.mp4 74.9 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/5. CNN Neural Network/3. MNIST digit classification.mp4 72.4 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/3. Neural Network and Tensorflow/2. Introduction to Neural Network.mp4 70.4 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/4. Keras/3. Fashion MNIST Part 1.mp4 69.8 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/7. Autoencoders/2. implementation of autoencoder.mp4 68.9 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/4. Keras/4. Fashion MNIST Part 2.mp4 68.6 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/4. Keras/5. Fashion MNIST Part 3.mp4 64.6 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/3. Neural Network and Tensorflow/9. Gradient Descent.mp4 63.9 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/4. Keras/2. CIFAR 10.mp4 62.2 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/11. Crash Course on Data Science Libraries/1. Python for Data Analysis- Numpy.mp4 59.1 MB
[TutsNode.com] - Tensorflow 2 & KerasDeep Learning & Artificial Intelligence/6. RNN/1. RNN INTRODUCTION.mp4 58.5 MB

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

收录时间:2021-03-08 文档个数:107 文档大小:2.9 GB 最近下载:2025-05-16 人气:2841 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 ] Udemy - CNN for Computer Vision with Keras and TensorFlow in R.zip

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[ FreeCourseWeb.com ] Udemy - CNN for Computer Vision with Keras and TensorFlow in R.zip 2.8 GB

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【影视】 [ DevCourseWeb.com ] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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~Get Your Files Here !/01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
~Get Your Files Here !/02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
~Get Your Files Here !/10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
~Get Your Files Here !/04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB

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【影视】 [GigaCourse.Com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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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【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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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【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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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【影视】 TensorFlow 1.x Deep Learning Recipes for Artificial Intelligence Applications [Video]

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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 352.0 MB
1.Convolutional Neural Networks for Computer Vision/02.Installation and Setup.mp4 99.4 MB
1.Convolutional Neural Networks for Computer Vision/03.Defining Layers for Image Recognition.mp4 206.8 MB
1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 296.0 MB
1.Convolutional Neural Networks for Computer Vision/05.Building Better CNNs with Regularization.mp4 223.4 MB
1.Convolutional Neural Networks for Computer Vision/01.The Course Overview.mp4 81.2 MB
2.Applications of Recurrent Neural Networks/07.The Intuition Behind RNNs.mp4 141.5 MB
2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 327.8 MB
2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 290.0 MB
2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 339.3 MB
3.Application of Deep Learning to AI Problems/11.Guessing Correlations from Scatter Plots.mp4 42.4 MB
3.Application of Deep Learning to AI Problems/12.Introduction to Generative Adversarial Networks.mp4 16.1 MB
3.Application of Deep Learning to AI Problems/13.Creating Images with GANs.mp4 54.5 MB
3.Application of Deep Learning to AI Problems/14.Sequence to Sequence Models.mp4 11.4 MB
3.Application of Deep Learning to AI Problems/15.Building a Language Translator.mp4 55.1 MB
4.Introduction to Reinforcement Learning/16.Key Concepts in Reinforcement Learning.mp4 14.3 MB
4.Introduction to Reinforcement Learning/17.A Simple Environment and Basic Policies.mp4 27.4 MB
4.Introduction to Reinforcement Learning/18.Training a Neural Network Policy.mp4 40.8 MB
4.Introduction to Reinforcement Learning/19.Using an Intelligent Agent.mp4 146.1 MB

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3. Natural language processing/6. Q&A and information retrieval 2.mp4 162.5 MB
2. Computer vision/5. Image classification 4.mp4 114.3 MB
2. Computer vision/7. Object detection 1.mp4 109.9 MB
2. Computer vision/2. Image classification 1.mp4 107.9 MB
2. Computer vision/14. Image extension using GAN 2.mp4 99.0 MB
3. Natural language processing/8. Q&A and information retrieval 4.mp4 96.5 MB
2. Computer vision/17. Action recognition 3.mp4 95.5 MB
3. Natural language processing/9. Q&A and information retrieval 5.mp4 92.7 MB
2. Computer vision/9. Object detection 3.mp4 90.5 MB
2. Computer vision/6. Image classification 5.mp4 89.9 MB
3. Natural language processing/3. Text classification 2.mp4 87.7 MB
2. Computer vision/15. Action recognition 1.mp4 85.5 MB
3. Natural language processing/7. Q&A and information retrieval 3.mp4 84.3 MB
1. Introduction/1. Course content.mp4 83.2 MB
2. Computer vision/18. Action recognition 4.mp4 79.1 MB
2. Computer vision/3. Image classification 2.mp4 71.6 MB
2. Computer vision/4. Image classification 3.mp4 68.4 MB
3. Natural language processing/10. Audio classification 1.mp4 68.2 MB
4. Extra content 1 Artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 66.5 MB
2. Computer vision/11. Style transfer 2.mp4 65.5 MB

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3. Natural language processing/6. Q&A and information retrieval 2.mp4 162.5 MB
2. Computer vision/5. Image classification 4.mp4 114.3 MB
2. Computer vision/7. Object detection 1.mp4 109.9 MB
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3. Natural language processing/8. Q&A and information retrieval 4.mp4 96.5 MB
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1. Introduction/1. Course content.mp4 83.2 MB
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2. Computer vision/4. Image classification 3.mp4 68.4 MB
3. Natural language processing/10. Audio classification 1.mp4 68.2 MB
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13. Business case/4. Preprocessing the data.mp4 82.6 MB
14. Conclusion/3. An overview of CNNs.mp4 75.4 MB
6. Deep nets overview/3. Really understand deep nets.mp4 61.0 MB
13. Business case/10. Homework.mp4 60.3 MB
13. Business case/5. Creating the batching class.mp4 59.4 MB
2. Neural networks Intro/11. One-parameter gradient descent.mp4 59.1 MB
12. Deeper example/9. Commenting on the results.mp4 55.3 MB
6. Deep nets overview/7. Backpropagation.mp4 55.3 MB
13. Business case/1. The dataset.mp4 55.2 MB
2. Neural networks Intro/12. N-parameter gradient descent.mp4 52.5 MB
1. Introduction/2. What does the course cover.mp4 51.6 MB
14. Conclusion/1. Summary.mp4 50.9 MB
4. Minimal example/4. Training the model.mp4 48.8 MB
13. Business case/6. Outlining the model.mp4 48.5 MB
12. Deeper example/4. MNIST - Outlining the model.mp4 47.2 MB
13. Business case/3. Balancing a dataset.mp4 47.1 MB
5. Introduction to TensorFlow/1. TensorFlow outline.mp4 46.8 MB
2. Neural networks Intro/1. Introduction to neural networks.mp4 44.6 MB
2. Neural networks Intro/6. The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
14. Conclusion/5. Non-NN approaches.mp4 43.9 MB

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