mp4 Convolutional Neural Networks with TensorFlow in Python
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05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 74.17 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 69.49 MB
05.Getting Production-Ready with TensorFlow/0503.Debugging and Some Nice Practices in TensorFlow.mp4 68.37 MB
05.Getting Production-Ready with TensorFlow/0504.TensorFlow on Multiple Devices.mp4 55.47 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 52.65 MB
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3.2. TensorFlow Basics/10.Operations, or ops.mp4 14.98 MB
3.2. TensorFlow Basics/11.Model introduction.mp4 13.51 MB
2.1. Introduction and Setup/07.Initial project creation with TensorFlow.mp4 12.33 MB
3.2. TensorFlow Basics/12.Layers introduction.mp4 12.05 MB
4.3. Exploration of a Full Project/14.Exploration of the dataset.mp4 11.55 MB
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4. 3. Creating a TensorFlow Model/13. Define the model structure.mp4 27.14 MB
5. 4. Training a Model in TensorFlow/16. Log.mp4 25 MB
4. 3. Creating a TensorFlow Model/12. Load the data set.mp4 23.29 MB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.mp4 19.54 MB
7. 6. Using a Trained TensorFlow/21. Export models for use in production.mp4 16.17 MB
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video4_4.mp4 16.08 MB
video3_8.mp4 14.84 MB
video5_1.mp4 14.11 MB
video5_2.mp4 13.8 MB
video1_2.mp4 13.46 MB
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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 335.65 MB
2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 323.61 MB
2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 312.61 MB
1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 282.26 MB
2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 276.57 MB
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1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4 152.41 MB
13. Deployment/7. Flask Front End.mp4 149.59 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 149.33 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 148.08 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 144.18 MB
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video4_4.mp4 16.08 MB
video3_8.mp4 14.84 MB
video5_1.mp4 14.11 MB
video5_2.mp4 13.8 MB
video1_2.mp4 13.46 MB
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01-The Course Overview.mp4 11.05 MB
02-Installing TensorFlow.mp4 20.55 MB
02-Installing TensorFlow.txt 334 B
03-Simple Computations.mp4 20.41 MB
03-Simple Computations.txt 343 B
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1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 105.79 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.vtt 8.82 KB
1. Welcome! Course introduction/2. What does the course cover.mp4 16.36 MB
1. Welcome! Course introduction/2. What does the course cover.vtt 5.47 KB
1. Welcome! Course introduction/3. What does the course cover - Quiz.html 161 B
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10小仙女思妍-享受同居表姐的爱.mp4 420.27 MB
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11小仙女思妍-香奈儿的红色高跟鞋.mp4 716.49 MB
_____padding_file_1_如果您看到此文件,请升级到BitComet(比特彗星)0.85或以上版本____ 3.51 MB
12小仙女思妍-潜规则165cm车展女模特.mp4 1.39 GB
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6 - Contextual Generative Chatbots/37 - Building a Contextually Aware System.mp4 37.82 MB
1 - NLP Practices for Chatbot Development/02 - Tokenization.mp4 35.65 MB
5 - Making Your Chatbot Attentive/33 - Training and Evaluating the Model.mp4 33.16 MB
3 - Integrating Neural Networks/15 - Understanding Overfitting and Regularization.mp4 28.36 MB
6 - Contextual Generative Chatbots/38 - Conclusion.mp4 27.76 MB
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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 4.64 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 5.99 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 8.78 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.11 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 5.83 MB
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01 Outline and Review/001 Introduction and Outline.mp4 2.92 MB
01 Outline and Review/002 Review of Important Concepts.mp4 5.72 MB
01 Outline and Review/003 Where to get the code and data for this course.mp4 5.59 MB
01 Outline and Review/004 How to Succeed in this Course.mp4 9.52 MB
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4 10.06 MB
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CODE/5582_01_Code/5582_01_02_Code/install.sh 453 B
CODE/5582_01_Code/5582_01_03_Code/simple.py 2.14 KB
CODE/5582_01_Code/5582_01_04_Code/data_with_labels.npz 3.45 MB
CODE/5582_01_Code/5582_01_04_Code/logistic.py 3.14 KB
CODE/5582_01_Code/5582_01_05_Code/logistic.py 3.14 KB
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1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4 10.7 MB
1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4 9.88 MB
1.3-Installation on Mac OSX - Machine Learning with TensorFlow [Video].mp4 14.78 MB
1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4 11.08 MB
1.5-Installation on WindowsLinux - Machine Learning with TensorFlow [Video].mp4 15.57 MB