Let'S Educate Drive Search

Let'S Educate Drive Search

Let'S Educate
πŸ“„23. CNNs in Pytorch - Training Le Net-studyfevertelegam.ts (24.94MB)
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πŸ“„22. CNNs in Pytorch - LeNet-studyfevertelegam.ts (28.37MB)
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πŸ“„19. CNNs in Pytorch - Visualising Weights-studyfevertelegam.ts (28.27MB)
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πŸ“„17. CNNs in Pytorch - Outline-studyfevertelegam.ts (17.1MB)
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πŸ“„18. CNNs in Pytorch - Loading Data Sets-studyfevertelegam.ts (28.88MB)
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πŸ“„24. CNNs in Pytorch - Visualising Intermediate Layers, Exercises-studyfevertelegam.ts (17.25MB)
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πŸ“„21. CNNs in Pytorch - Deep CNNs-studyfevertelegam.ts (35.26MB)
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πŸ“„15. From convolution operation to neural networks - Training CNNs-studyfevertelegam.ts (40.05MB)
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πŸ“„20. CNNs in Pytorch - Single Convolutional Layer-studyfevertelegam.ts (32.29MB)
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πŸ“„11. CNN Architectures - Part 2 - The Intuition behind GoogLeNet-studyfevertelegam.ts (20.4MB)
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πŸ“„9. CNN Architectures - Part 2 - Number of computations in a convolution layer-studyfevertelegam.ts (61.74MB)
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πŸ“„21. Building CNN Architectures Using Pytorch - Pre-trained Models-studyfevertelegam.ts (27.01MB)
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πŸ“„30. Visualising CNNs - Occlusion experiments-studyfevertelegam.ts (29.25MB)
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πŸ“„33. Visualising CNNs Using Python - Visualising inputs-studyfevertelegam.ts (29.24MB)
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πŸ“„12. CNN Architectures - Part 2 - The Inception Module-studyfevertelegam.ts (73.65MB)
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πŸ“„18. Building CNN Architectures Using Pytorch - Image Transforms-studyfevertelegam.ts (28.83MB)
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πŸ“„20. Building CNN Architectures Using Pytorch - Training VGG-studyfevertelegam.ts (15.3MB)
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πŸ“„23. Building CNN Architectures Using Pytorch - ResNet-studyfevertelegam.ts (20.64MB)
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πŸ“„27. Visualising CNNs - Receptive field of a neuron-studyfevertelegam.ts (60.2MB)
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πŸ“„22. Building CNN Architectures Using Pytorch - Checkpointing Models-studyfevertelegam.ts (27.1MB)
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πŸ“„14. CNN Architectures - Part 2 - Average Pooling-studyfevertelegam.ts (16.84MB)
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πŸ“„31. Visualising CNNs Using Python - Outline-studyfevertelegam.ts (8.41MB)
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πŸ“„29. Visualising CNNs - Visualising filters-studyfevertelegam.ts (45.74MB)
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πŸ“„24. Building CNN Architectures Using Pytorch - Inception Part 1-studyfevertelegam.ts (12.98MB)
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πŸ“„5. CNN Architectures - Part 1 - ZFNet-studyfevertelegam.ts (85.38MB)
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πŸ“„35. Visualising CNNs Using Python - Visualising filters-studyfevertelegam.ts (19.92MB)
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πŸ“„4. CNN Architectures - Part 1 - Understanding all layers of AlexNet-studyfevertelegam.ts (31.81MB)
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πŸ“„15. CNN Architectures - Part 2 - Auxiliary Loss for training a deep network-studyfevertelegam.ts (16.9MB)
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πŸ“„28. Visualising CNNs - Identifying images which cause certain neurons to fire-studyfevertelegam.ts (61.13MB)
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πŸ“„7. CNN Architectures - Part 1 - Summary-studyfevertelegam.ts (50.03MB)
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πŸ“„10. CNN Architectures - Part 2 - 1x1 Convolutions-studyfevertelegam.ts (37.9MB)
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πŸ“„8. CNN Architectures - Part 2 - Setting the context-studyfevertelegam.ts (18.69MB)
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πŸ“„1. CNN Architectures - Part 1 - Setting the context-studyfevertelegam.ts (22.49MB)
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πŸ“„6. CNN Architectures - Part 1 - VGGNet-studyfevertelegam.ts (34.42MB)
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πŸ“„36. Visualising CNNs Using Python - Visualising filters - code-studyfevertelegam.ts (8.36MB)
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πŸ“„16. CNN Architectures - Part 2 - ResNet-studyfevertelegam.ts (12.41MB)
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πŸ“„2. CNN Architectures - Part 1 - The Imagenet Challenge-studyfevertelegam.ts (54.38MB)
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πŸ“„25. Building CNN Architectures Using Pytorch - Inception Part 2-studyfevertelegam.ts (21.75MB)
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πŸ“„32. Visualising CNNs Using Python - Custom Torchvision Dataset-studyfevertelegam.ts (28.36MB)
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πŸ“„13. CNN Architectures - Part 2 - The GoogleNet Architecture-studyfevertelegam.ts (37.52MB)
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πŸ“„26. Building CNN Architectures Using Pytorch - Exercises-studyfevertelegam.ts (64.0MB)
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πŸ“„34. Visualising CNNs Using Python - Occlusion-studyfevertelegam.ts (28.76MB)
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πŸ“„19. Building CNN Architectures Using Pytorch - VGG-studyfevertelegam.ts (24.03MB)
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πŸ“„3. CNN Architectures - Part 1 - Understanding the first layer of AlexNet-studyfevertelegam.ts (34.99MB)
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πŸ“„17. Building CNN Architectures Using Pytorch - Outline-studyfevertelegam.ts (17.7MB)
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πŸ“„Cn.php (184.7KB)
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πŸ“„cnzlm3KPsenJ4iuWLS.js (101B)
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πŸ“„Animal Kingdom - L 2 _ Cnidaria _ Class 11 _ Unacademy NEET _ LIVE DAILY _ NEET Biology _ Sachin Sir.mkv (138.29MB)
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πŸ“„[CN] Basics of Aptitude Preparation for Interview Rounds.tar (27.08GB)
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πŸ“„Image classification using CNN (CIFAR10 dataset) _ Deep Learning Tutorial 24 (Tensorflow & Python).mkv (108.88MB)
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πŸ“„10. Interview Questions on Deep Learning (NN MLP CNNs)-getstudyfever.mp4 (391.33MB)
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πŸ“„19.1. CNN_MNIST.ipynb (10.28KB)
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πŸ“„7. CNN Training_ Optimization.mp4 (30.44MB)
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πŸ“„9. Example CNN_ LeNet [1998].mp4 (37.22MB)
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πŸ“„7. Deep learning features_ CNN.mp4 (13.67MB)
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πŸ“„Introduction and CNS Tour.mp4 (211.49MB)
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πŸ“„The Normal CNSβ€”Cells, Fascicles, and Meninges.mp4 (196.15MB)
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πŸ“„Surgery 8. Neurosurgery 51. CNS Tumors atf.mp4 (448.28MB)
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πŸ“„18. Pediatric Neurology 76. Congenital CNS Malformations and hydrocephalus atf.mp4 (113.95MB)
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πŸ“„18. Pediatric Neurology 78. Disorders with CNS involvement and Brain death atf.mp4 (442.58MB)
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