[FreeCourseSite.com] Udemy - Convolutional Neural Networks in Python CNN Computer Vision

磁力链接/BT种子名称

[FreeCourseSite.com] Udemy - Convolutional Neural Networks in Python CNN Computer Vision

磁力链接/BT种子简介

种子哈希：d0f464065673e4a6beca97f94aafbbaa42a237b0
文件大小： 2.7G
已经下载：1221次
下载速度：极快
收录时间：2022-01-16
最近下载：2025-11-20

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:D0F464065673E4A6BECA97F94AAFBBAA42A237B0
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 世界之窗 小蓝俱乐部 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 母狗园 51动漫 91短视频 抖音Max 海王TV TikTok成人版 PornHub 暗网Xvideo 草榴社区 哆哔涩漫 呦乐园 萝莉岛 搜同 91暗网

最近搜索

文件列表

  • 10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
  • 3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
  • 9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
  • 9. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 82.9 MB
  • 17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.mp4 75.4 MB
  • 9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.4 MB
  • 14. CNN - Basics/5. Channels.mp4 71.0 MB
  • 17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.mp4 69.2 MB
  • 2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.mp4 68.4 MB
  • 2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.mp4 67.6 MB
  • 5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
  • 13. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
  • 4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 63.3 MB
  • 2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.mp4 63.3 MB
  • 16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.mp4 60.8 MB
  • 8. Python - Dataset for classification problem/1. Dataset for classification.mp4 58.9 MB
  • 15. Creating CNN model in Python/3. CNN model in Python - Training and results.mp4 57.8 MB
  • 18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.mp4 55.7 MB
  • 14. CNN - Basics/4. Filters and Feature maps.mp4 55.3 MB
  • 14. CNN - Basics/1. CNN Introduction.mp4 53.7 MB
  • 17. Project Creating CNN model from scratch/1. Project - Introduction.mp4 51.8 MB
  • 2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.mp4 49.2 MB
  • 14. CNN - Basics/6. PoolingLayer.mp4 49.2 MB
  • 6. Standard Model Parameters/1. Hyperparameters.mp4 47.6 MB
  • 3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 46.9 MB
  • 8. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4 46.4 MB
  • 2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.mp4 46.0 MB
  • 15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.mp4 45.4 MB
  • 18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.mp4 43.4 MB
  • 2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.mp4 42.9 MB
  • 15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.mp4 42.6 MB
  • 4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 42.4 MB
  • 2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.mp4 42.3 MB
  • 3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 36.3 MB
  • 14. CNN - Basics/3. Padding.mp4 33.2 MB
  • 19. Transfer Learning Basics/5. Transfer Learning.mp4 31.5 MB
  • 1. Introduction/1. Introduction.mp4 23.7 MB
  • 19. Transfer Learning Basics/4. GoogLeNet.mp4 22.4 MB
  • 17. Project Creating CNN model from scratch/5. Project in Python - model results.mp4 22.0 MB
  • 19. Transfer Learning Basics/1. ILSVRC.mp4 22.0 MB
  • 2. Setting up Python and Jupyter Notebook/2. This is a milestone!.mp4 21.7 MB
  • 7. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4 21.0 MB
  • 14. CNN - Basics/2. Stride.mp4 17.4 MB
  • 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 17.1 MB
  • 7. Tensorflow and Keras/1. Keras and Tensorflow.mp4 15.6 MB
  • 2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.mp4 13.4 MB
  • 21. Bonus Section/1. The final milestone!.mp4 12.5 MB
  • 9. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 11.3 MB
  • 19. Transfer Learning Basics/3. VGG16NET.mp4 10.9 MB
  • 19. Transfer Learning Basics/2. LeNET.mp4 7.3 MB
  • 4. Neural Networks - Stacking cells to create network/3. Back Propagation.srt 23.3 kB
  • 10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.srt 22.4 kB
  • 20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.srt 19.3 kB
  • 12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt 19.2 kB
  • 2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.srt 17.4 kB
  • 2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.srt 16.8 kB
  • 3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.srt 14.9 kB
  • 5. Important concepts Common Interview questions/1. Some Important Concepts.srt 13.4 kB
  • 2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.srt 12.6 kB
  • 9. Python - Building and training the Model/2. Building the Neural Network using Keras.srt 12.2 kB
  • 4. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt 12.2 kB
  • 11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.srt 12.2 kB
  • 2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.srt 10.7 kB
  • 3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt 9.9 kB
  • 9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt 9.8 kB
  • 4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt 9.7 kB
  • 13. Hyperparameter Tuning/1. Hyperparameter Tuning.srt 9.7 kB
  • 2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.srt 9.4 kB
  • 9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt 9.2 kB
  • 6. Standard Model Parameters/1. Hyperparameters.srt 9.2 kB
  • 17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.srt 8.9 kB
  • 17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.srt 8.8 kB
  • 2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.srt 8.3 kB
  • 3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt 8.0 kB
  • 14. CNN - Basics/1. CNN Introduction.srt 8.0 kB
  • 2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.srt 7.7 kB
  • 8. Python - Dataset for classification problem/1. Dataset for classification.srt 7.3 kB
  • 17. Project Creating CNN model from scratch/1. Project - Introduction.srt 7.3 kB
  • 18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.srt 6.8 kB
  • 15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.srt 6.8 kB
  • 14. CNN - Basics/4. Filters and Feature maps.srt 6.7 kB
  • 18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.srt 6.5 kB
  • 15. Creating CNN model in Python/3. CNN model in Python - Training and results.srt 6.2 kB
  • 14. CNN - Basics/5. Channels.srt 6.0 kB
  • 8. Python - Dataset for classification problem/2. Normalization and Test-Train split.srt 5.9 kB
  • 15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.srt 5.7 kB
  • 19. Transfer Learning Basics/5. Transfer Learning.srt 5.5 kB
  • 16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.srt 5.4 kB
  • 14. CNN - Basics/6. PoolingLayer.srt 5.2 kB
  • 14. CNN - Basics/3. Padding.srt 4.7 kB
  • 19. Transfer Learning Basics/1. ILSVRC.srt 4.5 kB
  • 2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.srt 4.1 kB
  • 7. Tensorflow and Keras/2. Installing Tensorflow and Keras.srt 3.9 kB
  • 2. Setting up Python and Jupyter Notebook/2. This is a milestone!.srt 3.9 kB
  • 1. Introduction/1. Introduction.srt 3.7 kB
  • 7. Tensorflow and Keras/1. Keras and Tensorflow.srt 3.6 kB
  • 19. Transfer Learning Basics/4. GoogLeNet.srt 3.1 kB
  • 14. CNN - Basics/2. Stride.srt 2.8 kB
  • 17. Project Creating CNN model from scratch/5. Project in Python - model results.srt 2.8 kB
  • 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt 2.6 kB
  • 9. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt 1.9 kB
  • 19. Transfer Learning Basics/3. VGG16NET.srt 1.9 kB
  • 21. Bonus Section/1. The final milestone!.srt 1.8 kB
  • 19. Transfer Learning Basics/2. LeNET.srt 1.7 kB
  • 21. Bonus Section/2. Congratulations & About your certificate.html 1.6 kB
  • 8. Python - Dataset for classification problem/3. More about test-train split.html 559 Bytes
  • 1. Introduction/2. Course Resources.html 335 Bytes
  • 17. Project Creating CNN model from scratch/2. Data for the project.html 232 Bytes
  • 14. CNN - Basics/7. Quiz.html 210 Bytes
  • 4. Neural Networks - Stacking cells to create network/4. Quiz.html 210 Bytes
  • 5. Important concepts Common Interview questions/2. Quiz.html 210 Bytes
  • 6. Standard Model Parameters/2. Quiz.html 210 Bytes
  • 0. Websites you may like/[FCS Forum].url 133 Bytes
  • 0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 17. Project Creating CNN model from scratch/2.1 Dataset.html 127 Bytes
  • 0. Websites you may like/[CourseClub.ME].url 122 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 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！