Machine Learning - Modern Computer Vision & Generative AI

磁力链接/BT种子名称

Machine Learning - Modern Computer Vision & Generative AI

磁力链接/BT种子简介

种子哈希：140a128a648f8035dbdd2c5d801a939b7051d7c0
文件大小： 1.04G
已经下载：3435次
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收录时间：2024-07-20
最近下载：2025-09-27

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文件列表

  • Chapter 3 Object Detection/008. LabelImg Demo.mp4 89.9 MB
  • Chapter 3 Object Detection/011. Fine-Tuning Object Detection in Python (Built-In Dataset).mp4 87.7 MB
  • Chapter 3 Object Detection/012. Fine-Tuning Object Detection in Python (Custom Dataset).mp4 77.1 MB
  • Chapter 4 Generative AI with Stable Diffusion/002. Generate Images with Stable Diffusion in Python.mp4 75.4 MB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/005. Fine-Tuning an Image Classifier in Python.mp4 75.1 MB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4 68.1 MB
  • Chapter 4 Generative AI with Stable Diffusion/006. A Look at the Diffusion Model Source Code (Optional).mp4 62.2 MB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to Install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 49.5 MB
  • Chapter 3 Object Detection/004. Pre-trained Object Detection in Python.mp4 39.7 MB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/003. Pre-trained Image Classifier in Python.mp4 38.7 MB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. Beginner's Coding Tips.mp4 36.9 MB
  • Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/002. What order should I take your courses in (part 2).mp4 36.3 MB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (Part 1).mp4 29.9 MB
  • Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. What order should I take your courses in (part 1).mp4 27.9 MB
  • Chapter 4 Generative AI with Stable Diffusion/003. How Do Diffusion Models Work (Optional).mp4 27.4 MB
  • Chapter 3 Object Detection/003. Decoding the Output IoU, Non-Max Suppression, Confidence Score.mp4 22.0 MB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/002. Concepts Pre-trained Image Classifier.mp4 21.8 MB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. How to Code Yourself (Part 2).mp4 19.2 MB
  • Chapter 3 Object Detection/001. Object Detection Outline.mp4 19.2 MB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/004. Transfer Learning and Fine-Tuning.mp4 18.4 MB
  • Chapter 8 Appendix FAQ Finale/001. Where to Get Discount Coupons and FREE Deep Learning Material.mp4 17.9 MB
  • Chapter 3 Object Detection/005. Focal Loss & Smooth L1 Loss.mp4 16.0 MB
  • Chapter 4 Generative AI with Stable Diffusion/004. Diffusion Model Architecture Unet.mp4 14.3 MB
  • Chapter 3 Object Detection/002. Concepts Object Detection.mp4 11.7 MB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/007. Suggestion Box.mp4 11.7 MB
  • Chapter 3 Object Detection/010. KerasCV Object Detection Dataset Format.mp4 11.6 MB
  • Chapter 3 Object Detection/009. Data Augmentation.mp4 11.0 MB
  • Chapter 1 Welcome/001. Introduction and Outline.mp4 10.5 MB
  • Chapter 4 Generative AI with Stable Diffusion/005. How Diffusion Models Condition on Prompts (Optional).mp4 10.0 MB
  • Chapter 4 Generative AI with Stable Diffusion/001. Stable Diffusion Outline.mp4 9.0 MB
  • Chapter 3 Object Detection/006. Object Detection Dataset Formats (COCO & Pascal VOC).mp4 8.8 MB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/001. Classification Section Outline.mp4 7.1 MB
  • Chapter 1 Welcome/002. How to Succeed in This Course.mp4 6.6 MB
  • Chapter 3 Object Detection/007. LabelImg Setup.mp4 4.1 MB
  • Chapter 1 Welcome/003. Where to Get the Code.mp4 3.5 MB
  • Chapter 3 Object Detection/013. Object Detection Exercise.mp4 3.3 MB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/006. Classification Exercise.mp4 2.2 MB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/005. Fine-Tuning an Image Classifier in Python.en.srt 30.2 kB
  • Chapter 3 Object Detection/011. Fine-Tuning Object Detection in Python (Built-In Dataset).en.srt 28.6 kB
  • Chapter 3 Object Detection/008. LabelImg Demo.en.srt 26.8 kB
  • Chapter 3 Object Detection/012. Fine-Tuning Object Detection in Python (Custom Dataset).en.srt 26.3 kB
  • Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/002. What order should I take your courses in (part 2).en.srt 25.9 kB
  • Chapter 4 Generative AI with Stable Diffusion/002. Generate Images with Stable Diffusion in Python.en.srt 24.9 kB
  • Chapter 4 Generative AI with Stable Diffusion/006. A Look at the Diffusion Model Source Code (Optional).en.srt 24.8 kB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (Part 1).en.srt 23.8 kB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.en.srt 22.3 kB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. Beginner's Coding Tips.en.srt 20.7 kB
  • Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. What order should I take your courses in (part 1).en.srt 18.4 kB
  • Chapter 3 Object Detection/004. Pre-trained Object Detection in Python.en.srt 17.7 kB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to Install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt 16.8 kB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. Proof that using Jupyter Notebook is the same as not using it.en.srt 16.3 kB
  • Chapter 4 Generative AI with Stable Diffusion/003. How Do Diffusion Models Work (Optional).en.srt 15.8 kB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/003. Pre-trained Image Classifier in Python.en.srt 15.3 kB
  • Chapter 3 Object Detection/003. Decoding the Output IoU, Non-Max Suppression, Confidence Score.en.srt 14.9 kB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. How to Code Yourself (Part 2).en.srt 14.2 kB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/004. Transfer Learning and Fine-Tuning.en.srt 14.2 kB
  • Chapter 3 Object Detection/001. Object Detection Outline.en.srt 13.7 kB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/002. Concepts Pre-trained Image Classifier.en.srt 13.6 kB
  • Chapter 3 Object Detection/005. Focal Loss & Smooth L1 Loss.en.srt 12.3 kB
  • Chapter 4 Generative AI with Stable Diffusion/004. Diffusion Model Architecture Unet.en.srt 8.7 kB
  • Chapter 3 Object Detection/010. KerasCV Object Detection Dataset Format.en.srt 8.5 kB
  • Chapter 8 Appendix FAQ Finale/001. Where to Get Discount Coupons and FREE Deep Learning Material.en.srt 8.1 kB
  • Chapter 3 Object Detection/009. Data Augmentation.en.srt 7.7 kB
  • Chapter 3 Object Detection/002. Concepts Object Detection.en.srt 7.7 kB
  • Chapter 1 Welcome/001. Introduction and Outline.en.srt 7.2 kB
  • Chapter 3 Object Detection/006. Object Detection Dataset Formats (COCO & Pascal VOC).en.srt 6.9 kB
  • Chapter 4 Generative AI with Stable Diffusion/001. Stable Diffusion Outline.en.srt 6.7 kB
  • Chapter 4 Generative AI with Stable Diffusion/005. How Diffusion Models Condition on Prompts (Optional).en.srt 6.6 kB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/001. Classification Section Outline.en.srt 5.7 kB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/007. Suggestion Box.en.srt 4.7 kB
  • Chapter 3 Object Detection/013. Object Detection Exercise.en.srt 2.6 kB
  • Chapter 3 Object Detection/007. LabelImg Setup.en.srt 2.4 kB
  • Chapter 1 Welcome/002. How to Succeed in This Course.en.srt 1.7 kB
  • Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/006. Classification Exercise.en.srt 1.5 kB

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