- 【其他】 Building Machine Learning Systems with TensorFlow [Video]
- 收录时间:2020-02-08 文档个数:92 文档大小:1.2 GB 最近下载:2025-01-11 人气:3942 磁力链接
- Code/Section 8/imagenet-vgg-verydeep-19.mat 576.0 MB
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- 1.4-Basic Tensor Methods - Building Machine Learning Systems with TensorFlow [Video].mp4 31.0 MB
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- 1.2-TensorFlows Main Data Structure – Tensors - Building Machine Learning Systems with TensorFlow [Video].mp4 20.6 MB
- 3.4-Multivariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 20.1 MB
- 1.5-How TensorBoard Works - Building Machine Learning Systems with TensorFlow [Video].mp4 20.0 MB
- 3.3-Univariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 19.7 MB
- 2.4-Project 1 – k-Means Clustering on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4 16.8 MB
- 1.6-Reading Information from Disk - Building Machine Learning Systems with TensorFlow [Video].mp4 16.5 MB
- 2.3-k-Nearest Neighbor - Building Machine Learning Systems with TensorFlow [Video].mp4 16.1 MB
- 6.2-Applying Convolution in TensorFlow - Building Machine Learning Systems with TensorFlow [Video].mp4 15.9 MB
- 1.3-Handling the Computing Workflow – TensorFlows Data Flow Graph - Building Machine Learning Systems with TensorFlow [Video].mp4 15.0 MB
- 5.1-Preliminary Concepts - Building Machine Learning Systems with TensorFlow [Video].mp4 14.7 MB
- 6.6-MNIST Digit Classification - Building Machine Learning Systems with TensorFlow [Video].mp4 14.3 MB
- 5.3-Second Project – Modeling Cars Fuel Efficiency with Non-Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 14.2 MB
- 1.1-The course Overview - Building Machine Learning Systems with TensorFlow [Video].mp4 13.2 MB
- 8.5-Painting with Style – VGG Style Transfer - Building Machine Learning Systems with TensorFlow [Video].mp4 12.4 MB
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- 【压缩文件】 [FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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- 01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
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- 07 Convolutional Neural Networks/052 CNN Project Exercise Solution - Part One.mp4 52.6 MB
- 10 AutoEncoders/080 Stacked Autoencoder.mp4 46.1 MB
- 05 Introduction to Neural Networks/024 Manual Neural Network Classification Task.mp4 42.5 MB
- 09 Miscellaneous Topics/075 Tensorboard.mp4 41.9 MB
- 10 AutoEncoders/077 Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
- 11 Reinforcement Learning with OpenAI Gym/088 Simple Neural Network Game.mp4 37.6 MB
- 08 Recurrent Neural Networks/068 Word2Vec Code Along - Part One.mp4 37.3 MB
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- 04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
- 06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp4 33.5 MB
- 03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
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- 【压缩文件】 [FreeTutorials.Us] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python
- 收录时间:2020-02-09 文档个数:198 文档大小:2.4 GB 最近下载:2024-10-24 人气:1557 磁力链接
- 01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
- 01 Introduction/003 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
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- 10 AutoEncoders/080 Stacked Autoencoder.mp4 46.1 MB
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- 10 AutoEncoders/077 Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
- 11 Reinforcement Learning with OpenAI Gym/088 Simple Neural Network Game.mp4 37.6 MB
- 08 Recurrent Neural Networks/068 Word2Vec Code Along - Part One.mp4 37.3 MB
- 08 Recurrent Neural Networks/065 Time Series Exercise Solution.mp4 36.8 MB
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- 08 Recurrent Neural Networks/060 RNN with TensorFlow - Part One.mp4 35.7 MB
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- 09 Miscellaneous Topics/073 Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
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- 06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
- 04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
- 06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp4 33.5 MB
- 03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
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- 收录时间:2020-02-10 文档个数:25 文档大小:852.7 MB 最近下载:2025-01-07 人气:4331 磁力链接
- 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
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- 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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- 收录时间:2020-02-13 文档个数:45 文档大小:457.0 MB 最近下载:2025-01-09 人气:2739 磁力链接
- 6 - Contextual Generative Chatbots/37 - Building a Contextually Aware System.mp4 39.7 MB
- 1 - NLP Practices for Chatbot Development/02 - Tokenization.mp4 37.4 MB
- 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
- 6 - Contextual Generative Chatbots/38 - Conclusion.mp4 29.1 MB
- 3 - Integrating Neural Networks/18 - Applying LSTM to Named Entity Recognition.mp4 26.7 MB
- 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
- 1 - NLP Practices for Chatbot Development/03 - Stemming.mp4 8.6 MB
- 1 - NLP Practices for Chatbot Development/06 - Word Embedding.mp4 7.3 MB
- 2 - Building a Retrieval-Based Chatbot/12 - Building Your First Functional Chatbot.mp4 6.9 MB
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- 猜你喜欢: Tensorflow 资料
- 【影视】 Machine Learning with TensorFlow [Video]
- 收录时间:2020-02-16 文档个数:22 文档大小:194.9 MB 最近下载:2024-12-20 人气:106 磁力链接
- 1.5-Installation on WindowsLinux - Machine Learning with TensorFlow [Video].mp4 16.3 MB
- 3.4-The Graph Explorer - Machine Learning with TensorFlow [Video].mp4 15.7 MB
- 1.3-Installation on Mac OSX - Machine Learning with TensorFlow [Video].mp4 15.5 MB
- 3.3-Our Previous Project on TensorBoard - Machine Learning with TensorFlow [Video].mp4 12.7 MB
- 4.3-Programming a CNN - Machine Learning with TensorFlow [Video].mp4 11.7 MB
- 1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4 11.6 MB
- 1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4 11.2 MB
- 3.2-TensorBoard Events and Histograms - Machine Learning with TensorFlow [Video].mp4 11.0 MB
- 2.3-Understanding Matrix Conversions - Machine Learning with TensorFlow [Video].mp4 10.7 MB
- 1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4 10.4 MB
- 4.1-Convolutional Neural Networks - Machine Learning with TensorFlow [Video].mp4 10.0 MB
- 3.1-Getting Started with TensorBoard - Machine Learning with TensorFlow [Video].mp4 9.8 MB
- 4.2-Fully Connected Neural Networks - Machine Learning with TensorFlow [Video].mp4 9.1 MB
- 2.2-Automating Data Preparation - Machine Learning with TensorFlow [Video].mp4 9.0 MB
- 2.4-The Machine Learning Life Cycle - Machine Learning with TensorFlow [Video].mp4 8.0 MB
- 2.5-Reviewing Outputs and Results - Machine Learning with TensorFlow [Video].mp4 7.2 MB
- 4.4-CNN Versus Fully Connected Network Performance - Machine Learning with TensorFlow [Video].mp4 6.0 MB
- 2.1-The Hand-Written Letters Dataset - Machine Learning with TensorFlow [Video].mp4 5.5 MB
- 4.5-Using TensorBoard on Our CNN - Machine Learning with TensorFlow [Video].mp4 3.6 MB
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- Master Deep Learning with TensorFlow in Python.zip 1.4 GB
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- 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip 558.2 MB
- 10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4 192.4 MB
- 10. Convolution Neural Network (CNN) For Image Analysis/12.1 planesnet.json.json 190.7 MB
- 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4 176.0 MB
- 7. Unsupervised Learning With Tensorflow and Keras/3.1 creditcard.csv.csv 150.8 MB
- 7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv 150.8 MB
- 5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv 150.8 MB
- 9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv 150.8 MB
- 9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4 128.9 MB
- 5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4 118.2 MB
- 2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4 117.2 MB
- 10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4 114.2 MB
- 5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4 112.5 MB
- 6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 112.2 MB
- 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4 105.9 MB
- 9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp4 104.4 MB
- 5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp4 103.4 MB
- 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 98.8 MB
- 6. Some Basic Concepts/1. What is Machine Learning.mp4 95.8 MB
- 10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp4 95.7 MB
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- 收录时间:2020-02-18 文档个数:25 文档大小:225.7 MB 最近下载:2025-01-08 人气:4590 磁力链接
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- 收录时间:2020-02-20 文档个数:76 文档大小:469.0 MB 最近下载:2025-01-07 人气:2569 磁力链接
- 19-skflow.mp4 36.1 MB
- 18-Introducing Recurrent Neural Networks.mp4 34.9 MB
- 04-Logistic Regression Model Building.mp4 27.1 MB
- 21-Research Evaluation.mp4 27.0 MB
- 12-Convolutional Layer Application.mp4 26.9 MB
- 15-Deep CNN.mp4 25.2 MB
- 02-Installing TensorFlow.mp4 21.5 MB
- 03-Simple Computations.mp4 21.4 MB
- 09-Multiple Hidden Layer Model.mp4 20.8 MB
- 06-Basic Neural Nets.mp4 20.3 MB
- 07-Single Hidden Layer Model.mp4 19.8 MB
- 05-Logistic Regression Training.mp4 19.2 MB
- 17-Wrapping Up Deep CNN.mp4 19.2 MB
- 10-Multiple Hidden Layer Results.mp4 18.2 MB
- 08-Single Hidden Layer Explained.mp4 17.9 MB
- 14-Pooling Layer Application.mp4 16.8 MB
- 16-Deeper CNN.mp4 16.3 MB
- 20-RNNs in skflow.mp4 15.7 MB
- 11-Convolutional Layer Motivation.mp4 13.4 MB
- 01-The Course Overview.mp4 11.6 MB
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- 收录时间:2020-02-22 文档个数:299 文档大小:2.1 GB 最近下载:2024-10-24 人气:403 磁力链接
- 14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
- 01. 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 96.5 MB
- 13. Business case/1. Exploring the dataset and identifying predictors.mp4 82.0 MB
- 13. Business case/9. Setting an early stopping mechanism.mp4 56.0 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 48.2 MB
- 12. The MNIST example/10. Learning.mp4 46.6 MB
- 03. Setting up the working environment/9. Installing TensorFlow 2.mp4 45.0 MB
- 03. Setting up the working environment/2. Why Python and why Jupyter.mp4 43.0 MB
- 02. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
- 05. TensorFlow - An introduction/1. TensorFlow outline.mp4 40.2 MB
- 02. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
- 05. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 40.1 MB
- 14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
- 13. Business case/3. Balancing the dataset.mp4 36.9 MB
- 03. Setting up the working environment/4. Installing Anaconda.mp4 36.6 MB
- 13. Business case/8. Learning and interpreting the result.mp4 36.3 MB
- 14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
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- 收录时间:2020-02-27 文档个数:1 文档大小:4.5 GB 最近下载:2024-12-22 人气:3097 磁力链接
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- 1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4 159.8 MB
- 13. Deployment/7. Flask Front End.mp4 156.9 MB
- 9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
- 9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 155.3 MB
- 7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 151.2 MB
- 7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
- 7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
- 12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 138.0 MB
- 9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 137.4 MB
- 13. Deployment/8. Live Deployment to the Web.mp4 132.7 MB
- 7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 131.1 MB
- 11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 123.2 MB
- 7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
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- 1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip.zip 104.1 MB
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- 8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
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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
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- 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
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- 1.TensorFlow Setup and Fundamental Concepts/01.The Course Overview.mp4 53.0 MB
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