Machine Learning - Modern Computer Vision & Generative AI

Creation Time	July 24, 2024, 9:41 a.m.
Last Access Time	Nov. 23, 2024, 12:53 p.m.
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Keywords	AI Modern - Machine Computer Learning Generative Vision
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Total Files	75
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Chapter 3 Object Detection/008. LabelImg Demo.mp4 85.7 MB
Chapter 3 Object Detection/011. Fine-Tuning Object Detection in Python (Built-In Dataset).mp4 83.7 MB
Chapter 3 Object Detection/012. Fine-Tuning Object Detection in Python (Custom Dataset).mp4 73.5 MB
Chapter 4 Generative AI with Stable Diffusion/002. Generate Images with Stable Diffusion in Python.mp4 71.9 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/005. Fine-Tuning an Image Classifier in Python.mp4 71.6 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4 64.9 MB
Chapter 4 Generative AI with Stable Diffusion/006. A Look at the Diffusion Model Source Code (Optional).mp4 59.3 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to Install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 47.2 MB
Chapter 3 Object Detection/004. Pre-trained Object Detection in Python.mp4 37.9 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/003. Pre-trained Image Classifier in Python.mp4 36.9 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. Beginner's Coding Tips.mp4 35.2 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 34.7 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 34.5 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (Part 1).mp4 28.6 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 26.6 MB
Chapter 4 Generative AI with Stable Diffusion/003. How Do Diffusion Models Work (Optional).mp4 26.1 MB
Chapter 3 Object Detection/003. Decoding the Output IoU, Non-Max Suppression, Confidence Score.mp4 20.9 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/002. Concepts Pre-trained Image Classifier.mp4 20.8 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. How to Code Yourself (Part 2).mp4 18.3 MB
Chapter 3 Object Detection/001. Object Detection Outline.mp4 18.3 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/004. Transfer Learning and Fine-Tuning.mp4 17.6 MB
Chapter 8 Appendix FAQ Finale/001. Where to Get Discount Coupons and FREE Deep Learning Material.mp4 17.1 MB
Chapter 3 Object Detection/005. Focal Loss & Smooth L1 Loss.mp4 15.3 MB
Chapter 4 Generative AI with Stable Diffusion/004. Diffusion Model Architecture Unet.mp4 13.6 MB
Chapter 3 Object Detection/002. Concepts Object Detection.mp4 11.2 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/007. Suggestion Box.mp4 11.2 MB
Chapter 3 Object Detection/010. KerasCV Object Detection Dataset Format.mp4 11.1 MB
Chapter 3 Object Detection/009. Data Augmentation.mp4 10.5 MB
Chapter 1 Welcome/001. Introduction and Outline.mp4 10.0 MB
Chapter 4 Generative AI with Stable Diffusion/005. How Diffusion Models Condition on Prompts (Optional).mp4 9.6 MB
Chapter 4 Generative AI with Stable Diffusion/001. Stable Diffusion Outline.mp4 8.6 MB
Chapter 3 Object Detection/006. Object Detection Dataset Formats (COCO & Pascal VOC).mp4 8.4 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/001. Classification Section Outline.mp4 6.8 MB
Chapter 1 Welcome/002. How to Succeed in This Course.mp4 6.2 MB
Chapter 3 Object Detection/007. LabelImg Setup.mp4 3.9 MB
Chapter 1 Welcome/003. Where to Get the Code.mp4 3.4 MB
Chapter 3 Object Detection/013. Object Detection Exercise.mp4 3.2 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/006. Classification Exercise.mp4 2.1 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/005. Fine-Tuning an Image Classifier in Python.en.srt 29.5 KB
Chapter 3 Object Detection/011. Fine-Tuning Object Detection in Python (Built-In Dataset).en.srt 27.9 KB
Chapter 3 Object Detection/008. LabelImg Demo.en.srt 26.2 KB
Chapter 3 Object Detection/012. Fine-Tuning Object Detection in Python (Custom Dataset).en.srt 25.7 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 25.3 KB
Chapter 4 Generative AI with Stable Diffusion/002. Generate Images with Stable Diffusion in Python.en.srt 24.3 KB
Chapter 4 Generative AI with Stable Diffusion/006. A Look at the Diffusion Model Source Code (Optional).en.srt 24.3 KB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (Part 1).en.srt 23.2 KB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.en.srt 21.8 KB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. Beginner's Coding Tips.en.srt 20.2 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 18.0 KB
Chapter 3 Object Detection/004. Pre-trained Object Detection in Python.en.srt 17.3 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 16.4 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 15.9 KB
Chapter 4 Generative AI with Stable Diffusion/003. How Do Diffusion Models Work (Optional).en.srt 15.4 KB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/003. Pre-trained Image Classifier in Python.en.srt 14.9 KB
Chapter 3 Object Detection/003. Decoding the Output IoU, Non-Max Suppression, Confidence Score.en.srt 14.5 KB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. How to Code Yourself (Part 2).en.srt 13.9 KB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/004. Transfer Learning and Fine-Tuning.en.srt 13.9 KB
Chapter 3 Object Detection/001. Object Detection Outline.en.srt 13.4 KB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/002. Concepts Pre-trained Image Classifier.en.srt 13.3 KB
Chapter 3 Object Detection/005. Focal Loss & Smooth L1 Loss.en.srt 12.0 KB
Chapter 4 Generative AI with Stable Diffusion/004. Diffusion Model Architecture Unet.en.srt 8.5 KB
Chapter 3 Object Detection/010. KerasCV Object Detection Dataset Format.en.srt 8.3 KB
Chapter 8 Appendix FAQ Finale/001. Where to Get Discount Coupons and FREE Deep Learning Material.en.srt 7.9 KB
Chapter 3 Object Detection/009. Data Augmentation.en.srt 7.5 KB
Chapter 3 Object Detection/002. Concepts Object Detection.en.srt 7.5 KB
Chapter 1 Welcome/001. Introduction and Outline.en.srt 7.0 KB
Chapter 3 Object Detection/006. Object Detection Dataset Formats (COCO & Pascal VOC).en.srt 6.8 KB
Chapter 4 Generative AI with Stable Diffusion/001. Stable Diffusion Outline.en.srt 6.5 KB
Chapter 4 Generative AI with Stable Diffusion/005. How Diffusion Models Condition on Prompts (Optional).en.srt 6.5 KB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/001. Classification Section Outline.en.srt 5.6 KB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/007. Suggestion Box.en.srt 4.6 KB
Chapter 3 Object Detection/013. Object Detection Exercise.en.srt 2.5 KB
Chapter 3 Object Detection/007. LabelImg Setup.en.srt 2.3 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 1.4 KB

Machine Learning - Modern Computer Vision & Generative AI

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