[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python

磁力链接/BT种子名称

[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python

磁力链接/BT种子简介

种子哈希：bdb8622a384a13b634bddff2a728348e3e8f4a7e
文件大小： 1.44G
已经下载：1250次
下载速度：极快
收录时间：2020-02-23
最近下载：2025-02-19

地址随时变，回家记住路

小野猫.com黑猫警长.com哆啦a猫.com御猫.com科目三.com猫哭老鼠.com女猫.com☜☜☜找最新地址请保存左面网址

磁力链接

magnet:?xt=urn:btih:BDB8622A384A13B634BDDFF2A728348E3E8F4A7E
推荐使用PIKPAK网盘下载资源，PIKPAK是目前最好用网盘，10T超大空间，不和谐任何资源，支持无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 在线观看 世界之窗 含羞草 极乐禁地 91视频 51品茶 逼哩逼哩 萝莉岛 欲漫涩 91短视频 成人快手 抖阴破解版 ai色色 pilipili 草榴社区 哆哔涩漫 好色先生 疯马秀 TikTok成人版 悠悠禁区 波多 听泉鉴鲍 xvideo 外网天堂 PornHub 抖音Max 呦乐园 拔萝卜 糖心视频 麻豆Vlog 暗网Xvideo

资源截图

API Integration

最近搜索

文件列表

  • 10. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 1. Welcome/2. Where does this course fit into your deep learning studies.mp4 56.7 MB
  • 5. Training a neural network/8. Backpropagation in code.mp4 48.6 MB
  • 10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 45.4 MB
  • 10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 2. Review/4. Neuron Training.mp4 40.4 MB
  • 10. Appendix/15. What order should I take your courses in (part 2).mp4 39.4 MB
  • 5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4 39.1 MB
  • 4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).mp4 31.8 MB
  • 10. Appendix/14. What order should I take your courses in (part 1).mp4 30.8 MB
  • 2. Review/2. What does machine learning do.mp4 26.9 MB
  • 6. Practical Machine Learning/4. Neural Networks for Regression.mp4 26.6 MB
  • 8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp4 26.4 MB
  • 10. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 2. Review/3. Neuron Predictions.mp4 25.6 MB
  • 8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp4 24.6 MB
  • 1. Welcome/3. Where to get the code.mp4 24.5 MB
  • 9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp4 23.9 MB
  • 8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • 5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.mp4 21.2 MB
  • 8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).mp4 20.7 MB
  • 5. Training a neural network/5. Backpropagation Intro.mp4 20.0 MB
  • 9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.mp4 19.0 MB
  • 1. Welcome/4. How to Succeed in this Course.mp4 18.3 MB
  • 4. Classifying more than 2 things at a time/7. Feedforward in Slow-Mo (part 2).mp4 17.5 MB
  • 7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.mp4 16.7 MB
  • 9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.mp4 16.4 MB
  • 5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.mp4 16.2 MB
  • 10. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
  • 3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.mp4 15.5 MB
  • 10. Appendix/2. What's the difference between neural networks and deep learning.mp4 15.5 MB
  • 5. Training a neural network/2. What do all these symbols and letters mean.mp4 15.3 MB
  • 7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4 14.8 MB
  • 2. Review/6. Review Section Summary.mp4 14.7 MB
  • 6. Practical Machine Learning/3. Donut and XOR Revisited.mp4 14.6 MB
  • 4. Classifying more than 2 things at a time/10. Building an entire feedforward neural network in Python.mp4 14.5 MB
  • 8. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 14.1 MB
  • 10. Appendix/7. How to Succeed in this Course (Long Version).mp4 13.6 MB
  • 2. Review/1. Review Section Introduction.mp4 13.2 MB
  • 4. Classifying more than 2 things at a time/3. Interpreting the Weights of a Neural Network.mp4 13.1 MB
  • 6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.mp4 13.0 MB
  • 5. Training a neural network/7. Backpropagation - recursiveness.mp4 11.7 MB
  • 4. Classifying more than 2 things at a time/11. E-Commerce Course Project Pre-Processing the Data.mp4 11.7 MB
  • 5. Training a neural network/6. Backpropagation - what does the weight update depend on.mp4 10.6 MB
  • 8. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10.6 MB
  • 8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 10.3 MB
  • 5. Training a neural network/3. What does it mean to train a neural network.mp4 10.2 MB
  • 6. Practical Machine Learning/9. Practical Issues Section Summary.mp4 10.1 MB
  • 7. TensorFlow, exercises, practice, and what to learn next/5. How to get good at deep learning + exercises.mp4 9.9 MB
  • 4. Classifying more than 2 things at a time/1. Prediction Section Introduction and Outline.mp4 9.4 MB
  • 2. Review/5. Deep Learning Readiness Test.mp4 9.0 MB
  • 4. Classifying more than 2 things at a time/2. From Logistic Regression to Neural Networks.mp4 9.0 MB
  • 10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).mp4 8.9 MB
  • 5. Training a neural network/12. Training Quiz.mp4 8.7 MB
  • 7. TensorFlow, exercises, practice, and what to learn next/4. You know more than you think you know.mp4 8.6 MB
  • 10. Appendix/12. Python 2 vs Python 3.mp4 8.2 MB
  • 4. Classifying more than 2 things at a time/9. Softmax in Code.mp4 8.2 MB
  • 6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.mp4 8.1 MB
  • 4. Classifying more than 2 things at a time/12. E-Commerce Course Project Making Predictions.mp4 8.0 MB
  • 3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.mp4 7.7 MB
  • 6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.mp4 7.3 MB
  • 5. Training a neural network/9. The WRONG Way to Learn Backpropagation.mp4 7.2 MB
  • 9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.mp4 6.6 MB
  • 1. Welcome/1. Introduction and Outline.mp4 6.4 MB
  • 7. TensorFlow, exercises, practice, and what to learn next/3. Where to go from here.mp4 6.4 MB
  • 10. Appendix/1. What is the Appendix.mp4 5.7 MB
  • 10. Appendix/10. How to Uncompress a .tar.gz file.mp4 5.7 MB
  • 4. Classifying more than 2 things at a time/13. Prediction Quizzes.mp4 5.4 MB
  • 4. Classifying more than 2 things at a time/4. Softmax.mp4 4.8 MB
  • 5. Training a neural network/1. Training Section Introduction and Outline.mp4 4.6 MB
  • 5. Training a neural network/13. Training Section Summary.mp4 4.3 MB
  • 10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.2 MB
  • 4. Classifying more than 2 things at a time/8. Where to get the code for this course.mp4 3.1 MB
  • 8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.mp4 3.1 MB
  • 4. Classifying more than 2 things at a time/14. Prediction Section Summary.mp4 3.0 MB
  • 6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.mp4 2.9 MB
  • 4. Classifying more than 2 things at a time/5. Sigmoid vs. Softmax.mp4 2.5 MB
  • 6. Practical Machine Learning/5. Common nonlinearities and their derivatives.mp4 2.5 MB
  • 6. Practical Machine Learning/2. Donut and XOR Review.mp4 1.9 MB
  • 9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.mp4 1.8 MB
  • 10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 30.6 kB
  • 4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).vtt 27.1 kB
  • 10. Appendix/15. What order should I take your courses in (part 2).vtt 22.8 kB
  • 10. Appendix/5. How to Code by Yourself (part 1).vtt 21.8 kB
  • 10. Appendix/3. Windows-Focused Environment Setup 2018.vtt 19.4 kB
  • 8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.vtt 16.1 kB
  • 10. Appendix/14. What order should I take your courses in (part 1).vtt 15.5 kB
  • 9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.vtt 15.4 kB
  • 4. Classifying more than 2 things at a time/7. Feedforward in Slow-Mo (part 2).vtt 14.6 kB
  • 1. Welcome/2. Where does this course fit into your deep learning studies.vtt 14.6 kB
  • 10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 14.3 kB
  • 10. Appendix/7. How to Succeed in this Course (Long Version).vtt 14.1 kB
  • 5. Training a neural network/2. What do all these symbols and letters mean.vtt 13.8 kB
  • 10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 13.5 kB
  • 3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.vtt 13.5 kB
  • 5. Training a neural network/8. Backpropagation in code.vtt 13.5 kB
  • 10. Appendix/6. How to Code by Yourself (part 2).vtt 12.7 kB
  • 6. Practical Machine Learning/4. Neural Networks for Regression.vtt 12.6 kB
  • 9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.vtt 11.9 kB
  • 7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.vtt 11.8 kB
  • 2. Review/4. Neuron Training.vtt 11.1 kB
  • 6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.vtt 10.3 kB
  • 10. Appendix/2. What's the difference between neural networks and deep learning.vtt 10.0 kB
  • 4. Classifying more than 2 things at a time/3. Interpreting the Weights of a Neural Network.vtt 9.9 kB
  • 7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.vtt 9.6 kB
  • 5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.vtt 9.5 kB
  • 5. Training a neural network/3. What does it mean to train a neural network.vtt 9.2 kB
  • 6. Practical Machine Learning/9. Practical Issues Section Summary.vtt 9.0 kB
  • 8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).vtt 9.0 kB
  • 8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).vtt 8.8 kB
  • 5. Training a neural network/5. Backpropagation Intro.vtt 8.0 kB
  • 4. Classifying more than 2 things at a time/1. Prediction Section Introduction and Outline.vtt 7.9 kB
  • 2. Review/5. Deep Learning Readiness Test.vtt 7.7 kB
  • 7. TensorFlow, exercises, practice, and what to learn next/5. How to get good at deep learning + exercises.vtt 7.6 kB
  • 8. Project Facial Expression Recognition/3. The class imbalance problem.vtt 7.6 kB
  • 10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).vtt 7.6 kB
  • 7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.vtt 7.4 kB
  • 2. Review/2. What does machine learning do.vtt 7.3 kB
  • 4. Classifying more than 2 things at a time/2. From Logistic Regression to Neural Networks.vtt 7.0 kB
  • 7. TensorFlow, exercises, practice, and what to learn next/4. You know more than you think you know.vtt 7.0 kB
  • 8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).vtt 7.0 kB
  • 5. Training a neural network/12. Training Quiz.vtt 6.7 kB
  • 3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.vtt 6.6 kB
  • 5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.vtt 6.6 kB
  • 6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.vtt 6.4 kB
  • 1. Welcome/1. Introduction and Outline.vtt 6.3 kB
  • 8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.vtt 6.3 kB
  • 10. Appendix/12. Python 2 vs Python 3.vtt 6.0 kB
  • 1. Welcome/3. Where to get the code.vtt 5.8 kB
  • 7. TensorFlow, exercises, practice, and what to learn next/3. Where to go from here.vtt 5.8 kB
  • 2. Review/3. Neuron Predictions.vtt 5.7 kB
  • 6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.vtt 5.6 kB
  • 8. Project Facial Expression Recognition/4. Utilities walkthrough.vtt 5.5 kB
  • 5. Training a neural network/9. The WRONG Way to Learn Backpropagation.vtt 5.5 kB
  • 4. Classifying more than 2 things at a time/11. E-Commerce Course Project Pre-Processing the Data.vtt 5.4 kB
  • 9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.vtt 5.3 kB
  • 4. Classifying more than 2 things at a time/10. Building an entire feedforward neural network in Python.vtt 5.2 kB
  • 2. Review/6. Review Section Summary.vtt 5.0 kB
  • 9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.vtt 5.0 kB
  • 5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.vtt 4.8 kB
  • 6. Practical Machine Learning/3. Donut and XOR Revisited.vtt 4.4 kB
  • 4. Classifying more than 2 things at a time/13. Prediction Quizzes.vtt 4.3 kB
  • 5. Training a neural network/1. Training Section Introduction and Outline.vtt 4.1 kB
  • 10. Appendix/10. How to Uncompress a .tar.gz file.vtt 4.0 kB
  • 4. Classifying more than 2 things at a time/4. Softmax.vtt 4.0 kB
  • 5. Training a neural network/13. Training Section Summary.vtt 3.8 kB
  • 1. Welcome/4. How to Succeed in this Course.vtt 3.8 kB
  • 4. Classifying more than 2 things at a time/9. Softmax in Code.vtt 3.7 kB
  • 4. Classifying more than 2 things at a time/12. E-Commerce Course Project Making Predictions.vtt 3.5 kB
  • 10. Appendix/1. What is the Appendix.vtt 3.5 kB
  • 10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.vtt 3.4 kB
  • 5. Training a neural network/6. Backpropagation - what does the weight update depend on.vtt 3.3 kB
  • 2. Review/1. Review Section Introduction.vtt 2.7 kB
  • 4. Classifying more than 2 things at a time/14. Prediction Section Summary.vtt 2.6 kB
  • 6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.vtt 2.4 kB
  • 5. Training a neural network/7. Backpropagation - recursiveness.vtt 2.3 kB
  • 4. Classifying more than 2 things at a time/8. Where to get the code for this course.vtt 2.1 kB
  • 6. Practical Machine Learning/5. Common nonlinearities and their derivatives.vtt 1.9 kB
  • 4. Classifying more than 2 things at a time/5. Sigmoid vs. Softmax.vtt 1.8 kB
  • 8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.vtt 1.6 kB
  • 6. Practical Machine Learning/2. Donut and XOR Review.vtt 1.5 kB
  • 9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.vtt 1.4 kB
  • [FreeCourseLab.com].url 126 Bytes

温馨提示

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！