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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
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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~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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莫烦 Tensorflow 11 例子3 建造神经网络 (神经网络 教学教程)_标清.flv 44.8 MB
莫烦 Tensorflow 12 例子3 结果可视化 (神经网络 教学教程)_标清.flv 13.8 MB
莫烦 Tensorflow 13 优化器 optimizer (神经网络 教学教程tutorial)_标清.flv 12.3 MB
莫烦 Tensorflow 14 Tensorboard 可视化好帮手 (神经网络 教学教程tutorial)_标清.flv 23.3 MB
莫烦 Tensorflow 15 Tensorboard 可视化好帮手2 (神经网络 教学教程tutorial)_标清.flv 20.0 MB
莫烦 Tensorflow 17 dropout 解决 overfitting 问题 (神经网络 教学教程tutorial)_标清.flv 32.7 MB
莫烦 Tensorflow 18.1 CNN 卷积神经网络 Convolutional Neural Networks(神经网络 教学教程tutorial)_标清.flv 25.8 MB
莫烦 Tensorflow 18.2 CNN 卷积神经网络 Convolutional Neural Networks(神经网络 教学教程tutorial)_标清.flv 20.6 MB
莫烦 Tensorflow 18.3 CNN 卷积神经网络 Convolutional Neural Networks(神经网络 教学教程tutorial)_标清.flv 40.4 MB
莫烦 Tensorflow 19 Saver 保存读取 (神经网络 教学教程tutorial)_标清.flv 23.9 MB
莫烦 Tensorflow 2 安装 (Windows, Mac, Linux) (神经网络 教学教程tutorial)_标清.flv 13.1 MB
莫烦 Tensorflow 20.1 RNN 循环神经网络 (神经网络 教学教程tutorial)_标清.flv 21.8 MB
莫烦 Tensorflow 20.2 RNN 循环神经网络 (分类例子) (神经网络 教学教程tutorial)_标清.flv 41.4 MB
莫烦 Tensorflow 20.3 RNN lstm (regression 回归例子) (神经网络 教学教程tutorial)_标清.flv 48.4 MB
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莫烦 Tensorflow 21 Autoencoder (非监督学习) (神经网络 教学教程tutorial)_标清.flv 24.4 MB
莫烦 Tensorflow 22 scope 命名方式 (神经网络 教学教程 tutorial)_标清.flv 33.2 MB
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- 【影视】 [ FreeCourseWeb.com ] Deep Learning with TensorFlow - Insights and Innovations
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~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.mp4 81.9 MB
~Get Your Files Here !/04 - 3. Building Your First Model/02 - Preprocessing and feeding data into your model.mp4 67.2 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/02 - Deep dives into training metrics.mp4 53.4 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/01 - Visualizing success with TensorBoard.mp4 46.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/05 - Save and reuse trained models.mp4 44.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/06 - Autoencoders A gentle introduction to generative models.mp4 42.3 MB
~Get Your Files Here !/04 - 3. Building Your First Model/08 - Solution Building blocks to TensorFlow mastery.mp4 42.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/03 - Monitor training and validation.mp4 34.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/01 - Let's create a TensorFlow model.mp4 23.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/05 - Solution Step-by-step statistical analysis.mp4 21.1 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/03 - Machine learning workflow.mp4 13.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/04 - Challenge Normalizing tensors.mp4 13.0 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/01 - TensorFlow essentials.mp4 12.8 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/02 - TensorFlow simplified for NumPy users.mp4 10.1 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/01 - Codespaces Your ready-to-use workspace.mp4 9.5 MB
~Get Your Files Here !/04 - 3. Building Your First Model/07 - Challenge My first TensorFlow model.mp4 5.3 MB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp4 4.6 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/02 - Setting up TensorFlow with Codespaces.mp4 4.3 MB
~Get Your Files Here !/01 - Introduction/01 - Welcome to deep learning with TensorFlow.mp4 3.7 MB
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~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.mp4 95.4 MB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.mp4 65.4 MB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.mp4 62.8 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.mp4 62.5 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4 62.3 MB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.mp4 61.1 MB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.mp4 50.5 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.mp4 30.9 MB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.mp4 29.1 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4.vtx 545.8 kB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.en.srt 15.7 kB
~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.en.srt 15.2 kB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.en.srt 15.0 kB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.en.srt 11.8 kB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.en.srt 11.0 kB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.en.srt 9.2 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.en.srt 9.1 kB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.en.srt 8.1 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.en.srt 5.9 kB
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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/001 Outline - what did you learn previously and what will you learn in this course.mp4 4.9 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 6.3 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 9.2 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 6.1 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
03 Momentum and adaptive learning rates/007 Momentum.mp4 3.3 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4 5.3 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 5.8 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
04 Choosing Hyperparameters/013 Random Search in Code.mp4 8.3 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4 5.5 MB
07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4 4.7 MB
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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
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Discuss.FreeTutorials.Us.html 169.7 kB
FreeCoursesOnline.Me.html 110.9 kB
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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
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[CourseClub.NET].url 123 Bytes
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09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
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01 Outline and Review/001 Introduction and Outline.mp4 3.1 MB
01 Outline and Review/002 Review of Important Concepts.mp4 6.0 MB
01 Outline and Review/003 Where to get the code and data for this course.mp4 5.9 MB
01 Outline and Review/004 How to Succeed in this Course.mp4 10.0 MB
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4 10.5 MB
02 Convolution/006 What is convolution.mp4 9.0 MB
02 Convolution/007 Convolution example with audio Echo.mp4 12.7 MB
02 Convolution/008 Convolution example with images Gaussian Blur.mp4 14.7 MB
02 Convolution/009 Convolution example with images Edge Detection.mp4 8.3 MB
02 Convolution/010 Write Convolution Yourself.mp4 19.4 MB
02 Convolution/011 Alternative Views on Convolution.mp4 10.3 MB
03 Convolutional Neural Network Description/012 Translational Invariance.mp4 3.8 MB
03 Convolutional Neural Network Description/013 Architecture of a CNN.mp4 8.9 MB
03 Convolutional Neural Network Description/014 Relationship to Biology.mp4 4.1 MB
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03 Convolutional Neural Network Description/016 LeNet - How the Shapes Go Together.mp4 22.7 MB
04 Convolutional Neural Network in Theano/017 Theano - Building the CNN components.mp4 7.3 MB
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01-The Course Overview.mp4 11.6 MB
02-Installing TensorFlow.mp4 21.5 MB
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03-Simple Computations.mp4 21.4 MB
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04-Logistic Regression Model Building.mp4 27.1 MB
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05-Logistic Regression Training.mp4 19.2 MB
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06-Basic Neural Nets.mp4 20.3 MB
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07-Single Hidden Layer Model.mp4 19.8 MB
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08-Single Hidden Layer Explained.mp4 17.9 MB
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09-Multiple Hidden Layer Model.mp4 20.8 MB
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CODE/5582_01_Code/5582_01_02_Code/install.sh 453 Bytes
CODE/5582_01_Code/5582_01_03_Code/simple.py 2.2 kB
CODE/5582_01_Code/5582_01_04_Code/data_with_labels.npz 3.6 MB
CODE/5582_01_Code/5582_01_04_Code/logistic.py 3.2 kB
CODE/5582_01_Code/5582_01_05_Code/logistic.py 3.2 kB
CODE/5582_02_Code/5582_02_01_Code/basic_nn.py 1.2 kB
CODE/5582_02_Code/5582_02_02_Code/single_hidden.py 3.3 kB
CODE/5582_02_Code/5582_02_03_Code/single_hidden.py 3.3 kB
CODE/5582_02_Code/5582_02_04_Code/mlp.py 3.7 kB
CODE/5582_02_Code/5582_02_05_Code/mlp.py 3.7 kB
CODE/5582_03_Code/5582_03_02_Code/conv_simple.py 2.2 kB
CODE/5582_03_Code/5582_03_04_Code/conv_simple.py 2.2 kB
CODE/5582_03_Code/5582_03_05_Code/conv.py 5.2 kB
CODE/5582_03_Code/5582_03_05_Code/data_with_labels.npz 3.6 MB
CODE/5582_03_Code/5582_03_06_Code/conv_p2.py 5.9 kB
CODE/5582_03_Code/5582_03_07_Code/conv_p2.py 5.9 kB
CODE/5582_03_Code/5582_03_07_Code/data_with_labels.npz 3.6 MB
CODE/5582_04_Code/5582_04_01_Code/rnn.odg 10.2 kB
CODE/5582_04_Code/5582_04_01_Code/rnn_tf.py 3.8 kB
CODE/5582_04_Code/5582_04_01_Code/weather.npz 285.7 kB
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~Get Your Files Here !/3. HOW TO CREATE DATASET FOR OBJECT DETECTION.mp4 98.7 MB
~Get Your Files Here !/9. EXECUTE THE PROJECT IN PYCHARM IDE.mp4 71.5 MB
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~Get Your Files Here !/Bonus Resources.txt 386 Bytes
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6 - Contextual Generative Chatbots/37 - Building a Contextually Aware System.mp4 39.7 MB
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5 - Making Your Chatbot Attentive/33 - Training and Evaluating the Model.mp4 34.8 MB
3 - Integrating Neural Networks/15 - Understanding Overfitting and Regularization.mp4 29.7 MB
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4 - Generative Chatbots - Chatbots of the future/24 - Building the Encoder.mp4 23.9 MB
3 - Integrating Neural Networks/19 - Text Classification Using LSTM.mp4 22.2 MB
1 - NLP Practices for Chatbot Development/01 - The Course Overview.mp4 19.7 MB
3 - Integrating Neural Networks/13 - Implementing Linear Models.mp4 16.6 MB
4 - Generative Chatbots - Chatbots of the future/23 - Preprocessing the Data.mp4 15.5 MB
4 - Generative Chatbots - Chatbots of the future/22 - Preparing Data for the Model.mp4 14.7 MB
4 - Generative Chatbots - Chatbots of the future/26 - Training and Evaluating the Model.mp4 12.7 MB
3 - Integrating Neural Networks/16 - Training Word2vec Models.mp4 12.1 MB
1 - NLP Practices for Chatbot Development/05 - Vectorization.mp4 9.8 MB
5 - Making Your Chatbot Attentive/32 - Adding Attention to Our seq2seq Model.mp4 9.6 MB
4 - Generative Chatbots - Chatbots of the future/27 - Deploying the Chatbot.mp4 9.0 MB
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1 - Course Overview/1 - Course Overview.mp4 3.8 MB
2 - Introduction/1 - Introduction.mp4 5.4 MB
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00009 Working_with_Skip-Gram_Embeddings.mp4 30.5 MB
00002 Implementing_Operational_Gates.mp4 12.8 MB
00003 Working_with_Gates_and_Activation_Functions.mp4 11.8 MB
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00005 Implementing_Different_Layers.mp4 19.7 MB
00006 Learning_to_Play_Tic-Tac-Toe.mp4 22.2 MB
00007 Working_with_Bag-of-Words.mp4 27.1 MB
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00001 The_Course_Overview.mp4 9.9 MB
00010 Working_with_CBOW_Embeddings.mp4 21.2 MB
00011 Implementing_a_Simpler_CNN.mp4 15.7 MB
00012 Implementing_an_Advanced_CNN.mp4 20.5 MB
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00014 Implementing_RNN_for_Spam_Prediction.mp4 22.0 MB
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00016 Stacking_Multiple_LSTM_Layers.mp4 9.8 MB
00017 Training_a_Siamese_Similarity_Measure.mp4 16.6 MB
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