Udemy - Building your own Neural Network from Scratch with Python 2021

磁力链接/BT种子名称

Udemy - Building your own Neural Network from Scratch with Python 2021

磁力链接/BT种子简介

种子哈希：8f7603bbc4d6b3be5a530a598713a5309a929a60
文件大小： 4.21G
已经下载：334次
下载速度：极快
收录时间：2024-06-07
最近下载：2024-12-18

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:8F7603BBC4D6B3BE5A530A598713A5309A929A60
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，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 PIKPAK在线播放 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 暗网禁地 91短视频 TikTok成人版 PornHub 草榴社区 乱伦社区 少女初夜 萝莉岛

最近搜索

文件列表

  • 5. Neural Networks/3. Training and Optimization.mp4 384.0 MB
  • 3. Introduction to Machine Learning/5. Linear Regression.mp4 252.7 MB
  • 3. Introduction to Machine Learning/6. Logistic Regression.mp4 240.6 MB
  • 5. Neural Networks/4. Training and Optimization Practice.mp4 222.9 MB
  • 3. Introduction to Machine Learning/10. Performance Measurement.mp4 220.4 MB
  • 2. Essential Python Programming/14. Numpy Package.mp4 218.1 MB
  • 4. Softmax Regression/4. Training and Optimization.mp4 217.1 MB
  • 5. Neural Networks/1. Modeling.mp4 195.4 MB
  • 3. Introduction to Machine Learning/4. Error Sanctioning - Machine Learning Development Life Cycle.mp4 187.7 MB
  • 5. Neural Networks/7. Solving Overfitting and Underfitting.mp4 172.4 MB
  • 2. Essential Python Programming/2. Variables and Basic Operators.mp4 141.5 MB
  • 3. Introduction to Machine Learning/7. Linear Regression Practice.mp4 136.5 MB
  • 3. Introduction to Machine Learning/9. Optimization.mp4 133.1 MB
  • 5. Neural Networks/10. Weight Initialization.mp4 108.2 MB
  • 5. Neural Networks/13. Normalization.mp4 105.7 MB
  • 3. Introduction to Machine Learning/3. Model - Machine Learning Development Life Cycle.mp4 103.4 MB
  • 2. Essential Python Programming/4. Loops.mp4 97.7 MB
  • 2. Essential Python Programming/12. Decorators.mp4 95.2 MB
  • 2. Essential Python Programming/3. Conditional Statements.mp4 93.9 MB
  • 2. Essential Python Programming/5. Methods.mp4 92.7 MB
  • 3. Introduction to Machine Learning/2. Data - Machine Learning Development Life Cycle.mp4 86.7 MB
  • 3. Introduction to Machine Learning/1. Task - Machine Learning Development Life Cycle.mp4 84.2 MB
  • 3. Introduction to Machine Learning/8. Logistic Regression Practice.mp4 76.0 MB
  • 4. Softmax Regression/5. Performance Measurement.mp4 65.6 MB
  • 2. Essential Python Programming/6. Objects and Classes.mp4 62.0 MB
  • 5. Neural Networks/6. Validation and Testing.mp4 61.8 MB
  • 2. Essential Python Programming/9. Inheritance.mp4 60.1 MB
  • 1. Introduction/2. General Introduction.mp4 56.6 MB
  • 2. Essential Python Programming/7. Operator Overloading.mp4 55.5 MB
  • 4. Softmax Regression/1. Data.mp4 51.0 MB
  • 2. Essential Python Programming/8. Method Types.mp4 50.7 MB
  • 4. Softmax Regression/3. Error Sanctioning.mp4 49.4 MB
  • 2. Essential Python Programming/13. Generators.mp4 48.8 MB
  • 3. Introduction to Machine Learning/11. Validation and Testing.mp4 44.6 MB
  • 4. Softmax Regression/2. Modeling.mp4 38.1 MB
  • 5. Neural Networks/15. In Class Exercise.mp4 28.9 MB
  • 5. Neural Networks/11. Data Imbalance.mp4 28.8 MB
  • 5. Neural Networks/5. Performance Measurement.mp4 23.3 MB
  • 2. Essential Python Programming/15. Introduction to Matplotlib.mp4 22.6 MB
  • 2. Essential Python Programming/1. Python Installation.mp4 19.0 MB
  • 5. Neural Networks/14. Hyperparameter tuning.mp4 15.2 MB
  • 2. Essential Python Programming/11. Polymorphism.mp4 14.1 MB
  • 5. Neural Networks/12. Learning rate decay.mp4 13.0 MB
  • 2. Essential Python Programming/10. Encapsulation.mp4 12.1 MB
  • 5. Neural Networks/2. Error Sanctioning.mp4 8.9 MB
  • 1. Introduction/3. About this Course.mp4 7.6 MB
  • 5. Neural Networks/8. Shuffling.mp4 6.1 MB
  • 5. Neural Networks/9. Ensembling.mp4 4.7 MB
  • 1. Introduction/1. Welcome.mp4 4.0 MB
  • 2. Essential Python Programming/14. Numpy Package.srt 57.1 kB
  • 5. Neural Networks/3. Training and Optimization.srt 56.9 kB
  • 3. Introduction to Machine Learning/5. Linear Regression.srt 52.3 kB
  • 3. Introduction to Machine Learning/10. Performance Measurement.srt 43.2 kB
  • 5. Neural Networks/4. Training and Optimization Practice.srt 42.1 kB
  • 4. Softmax Regression/4. Training and Optimization.srt 42.1 kB
  • 3. Introduction to Machine Learning/6. Logistic Regression.srt 41.0 kB
  • 3. Introduction to Machine Learning/4. Error Sanctioning - Machine Learning Development Life Cycle.srt 33.8 kB
  • 5. Neural Networks/1. Modeling.srt 33.6 kB
  • 2. Essential Python Programming/2. Variables and Basic Operators.srt 31.7 kB
  • 3. Introduction to Machine Learning/7. Linear Regression Practice.srt 30.3 kB
  • 5. Neural Networks/7. Solving Overfitting and Underfitting.srt 29.7 kB
  • 2. Essential Python Programming/4. Loops.srt 25.4 kB
  • 3. Introduction to Machine Learning/9. Optimization.srt 24.6 kB
  • 2. Essential Python Programming/5. Methods.srt 24.2 kB
  • 3. Introduction to Machine Learning/3. Model - Machine Learning Development Life Cycle.srt 22.2 kB
  • 2. Essential Python Programming/12. Decorators.srt 20.3 kB
  • 5. Neural Networks/13. Normalization.srt 20.1 kB
  • 2. Essential Python Programming/3. Conditional Statements.srt 19.6 kB
  • 5. Neural Networks/10. Weight Initialization.srt 19.1 kB
  • 3. Introduction to Machine Learning/2. Data - Machine Learning Development Life Cycle.srt 18.7 kB
  • 2. Essential Python Programming/6. Objects and Classes.srt 16.9 kB
  • 3. Introduction to Machine Learning/8. Logistic Regression Practice.srt 16.6 kB
  • 3. Introduction to Machine Learning/1. Task - Machine Learning Development Life Cycle.srt 16.5 kB
  • 2. Essential Python Programming/7. Operator Overloading.srt 13.4 kB
  • 1. Introduction/2. General Introduction.srt 13.1 kB
  • 2. Essential Python Programming/9. Inheritance.srt 12.4 kB
  • 4. Softmax Regression/3. Error Sanctioning.srt 11.6 kB
  • 4. Softmax Regression/5. Performance Measurement.srt 11.2 kB
  • 2. Essential Python Programming/8. Method Types.srt 10.7 kB
  • 5. Neural Networks/6. Validation and Testing.srt 10.6 kB
  • 3. Introduction to Machine Learning/11. Validation and Testing.srt 10.3 kB
  • 2. Essential Python Programming/13. Generators.srt 10.2 kB
  • 4. Softmax Regression/2. Modeling.srt 8.4 kB
  • 4. Softmax Regression/1. Data.srt 6.4 kB
  • 5. Neural Networks/11. Data Imbalance.srt 6.2 kB
  • 2. Essential Python Programming/15. Introduction to Matplotlib.srt 5.2 kB
  • 5. Neural Networks/15. In Class Exercise.srt 5.0 kB
  • 2. Essential Python Programming/1. Python Installation.srt 4.9 kB
  • 5. Neural Networks/5. Performance Measurement.srt 4.5 kB
  • 5. Neural Networks/14. Hyperparameter tuning.srt 3.7 kB
  • 5. Neural Networks/12. Learning rate decay.srt 2.9 kB
  • 1. Introduction/3. About this Course.srt 2.9 kB
  • 2. Essential Python Programming/11. Polymorphism.srt 2.9 kB
  • 2. Essential Python Programming/10. Encapsulation.srt 2.4 kB
  • 5. Neural Networks/2. Error Sanctioning.srt 2.3 kB
  • 1. Introduction/1. Welcome.srt 2.0 kB
  • 5. Neural Networks/8. Shuffling.srt 1.4 kB
  • 5. Neural Networks/9. Ensembling.srt 800 Bytes
  • Readme.txt 147 Bytes

随机展示

相关说明

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！
>