Machine Learning Modern Computer Vision Generative AI | 140A128A648F8035DBDD2C5D801A939B7051D7C0

Machine Learning Modern Computer Vision Generative AI

Name	Machine Learning - Modern Computer Vision & Generative AI	DOWNLOAD Copy Link
Total Size	1.1 GB
Total Files	75
Last Seen	2025-02-10 23:16
Hash	140A128A648F8035DBDD2C5D801A939B7051D7C0

/Chapter 3 Object Detection/
008. LabelImg Demo.mp4	89.9 MB
001. Object Detection Outline.en.srt	13.7 KB
001. Object Detection Outline.mp4	19.2 MB
002. Concepts Object Detection.en.srt	7.7 KB
002. Concepts Object Detection.mp4	11.7 MB
003. Decoding the Output IoU, Non-Max Suppression, Confidence Score.en.srt	14.9 KB
003. Decoding the Output IoU, Non-Max Suppression, Confidence Score.mp4	22.0 MB
004. Pre-trained Object Detection in Python.en.srt	17.7 KB
004. Pre-trained Object Detection in Python.mp4	39.7 MB
005. Focal Loss & Smooth L1 Loss.en.srt	12.3 KB
005. Focal Loss & Smooth L1 Loss.mp4	16.0 MB
006. Object Detection Dataset Formats (COCO & Pascal VOC).en.srt	6.9 KB
006. Object Detection Dataset Formats (COCO & Pascal VOC).mp4	8.8 MB
007. LabelImg Setup.en.srt	2.4 KB
007. LabelImg Setup.mp4	4.1 MB
008. LabelImg Demo.en.srt	26.8 KB
009. Data Augmentation.en.srt	7.7 KB
009. Data Augmentation.mp4	11.0 MB
010. KerasCV Object Detection Dataset Format.en.srt	8.5 KB
010. KerasCV Object Detection Dataset Format.mp4	11.6 MB
011. Fine-Tuning Object Detection in Python (Built-In Dataset).en.srt	28.6 KB
011. Fine-Tuning Object Detection in Python (Built-In Dataset).mp4	87.7 MB
012. Fine-Tuning Object Detection in Python (Custom Dataset).en.srt	26.3 KB
012. Fine-Tuning Object Detection in Python (Custom Dataset).mp4	77.1 MB
013. Object Detection Exercise.en.srt	2.6 KB
013. Object Detection Exercise.mp4	3.3 MB
/Chapter 1 Welcome/
001. Introduction and Outline.mp4	10.5 MB
002. How to Succeed in This Course.en.srt	1.7 KB
002. How to Succeed in This Course.mp4	6.6 MB
003. Where to Get the Code.mp4	3.5 MB
001. Introduction and Outline.en.srt	7.2 KB
/Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/
001. Classification Section Outline.en.srt	5.7 KB
001. Classification Section Outline.mp4	7.1 MB
002. Concepts Pre-trained Image Classifier.en.srt	13.6 KB
002. Concepts Pre-trained Image Classifier.mp4	21.8 MB
003. Pre-trained Image Classifier in Python.en.srt	15.3 KB
003. Pre-trained Image Classifier in Python.mp4	38.7 MB
004. Transfer Learning and Fine-Tuning.en.srt	14.2 KB
004. Transfer Learning and Fine-Tuning.mp4	18.4 MB
005. Fine-Tuning an Image Classifier in Python.en.srt	30.2 KB
005. Fine-Tuning an Image Classifier in Python.mp4	75.1 MB
006. Classification Exercise.en.srt	1.5 KB
006. Classification Exercise.mp4	2.2 MB
007. Suggestion Box.en.srt	4.7 KB
007. Suggestion Box.mp4	11.7 MB
/Chapter 4 Generative AI with Stable Diffusion/
001. Stable Diffusion Outline.en.srt	6.7 KB
001. Stable Diffusion Outline.mp4	9.0 MB
002. Generate Images with Stable Diffusion in Python.en.srt	24.9 KB
002. Generate Images with Stable Diffusion in Python.mp4	75.4 MB
003. How Do Diffusion Models Work (Optional).en.srt	15.8 KB
003. How Do Diffusion Models Work (Optional).mp4	27.4 MB
004. Diffusion Model Architecture Unet.en.srt	8.7 KB
004. Diffusion Model Architecture Unet.mp4	14.3 MB
005. How Diffusion Models Condition on Prompts (Optional).en.srt	6.6 KB
005. How Diffusion Models Condition on Prompts (Optional).mp4	10.0 MB
006. A Look at the Diffusion Model Source Code (Optional).en.srt	24.8 KB
006. A Look at the Diffusion Model Source Code (Optional).mp4	62.2 MB
/Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/
001. Anaconda Environment Setup.en.srt	22.3 KB
001. Anaconda Environment Setup.mp4	68.1 MB
002. How to Install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt	16.8 KB
002. How to Install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	49.5 MB
/Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/
001. Beginner's Coding Tips.en.srt	20.7 KB
001. Beginner's Coding Tips.mp4	36.9 MB
002. How to Code Yourself (Part 1).en.srt	23.8 KB
002. How to Code Yourself (Part 1).mp4	29.9 MB
003. How to Code Yourself (Part 2).en.srt	14.2 KB
003. How to Code Yourself (Part 2).mp4	19.2 MB
004. Proof that using Jupyter Notebook is the same as not using it.en.srt	16.3 KB
004. Proof that using Jupyter Notebook is the same as not using it.mp4	36.2 MB
/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
001. What order should I take your courses in (part 1).mp4	27.9 MB
002. What order should I take your courses in (part 2).en.srt	25.9 KB
002. What order should I take your courses in (part 2).mp4	36.3 MB
/Chapter 8 Appendix FAQ Finale/
001. Where to Get Discount Coupons and FREE Deep Learning Material.en.srt	8.1 KB
001. Where to Get Discount Coupons and FREE Deep Learning Material.mp4	17.9 MB
Total files 75