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~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/001 Data Science in Numpy - Part1 (Code).mp4 123.5 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/002 Mocking SimCLR(Code).mp4 60.4 MB
~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/005 CutMix (Code).mp4 57.2 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/001 Image Search(Basic & Cluster).mp4 56.5 MB
~Get Your Files Here !/11 PEARL and NPILD (code)/001 NCE & Memory Bank (Code).mp4 55.8 MB
~Get Your Files Here !/03 Pytorch AutoGrad/001 Pytorch AutoGrad.mp4 47.1 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/003 SimClr and Supervised Contrastive Learning (Code).mp4 47.0 MB
~Get Your Files Here !/11 PEARL and NPILD (code)/002 Network and Training NPILD & Pearl (Code).mp4 42.2 MB
~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/001 Non-Parametric Instance-level Discrimination & Metric learning approach.mp4 41.2 MB
~Get Your Files Here !/01 Introduction/001 Why Should You Take This Course_.mp4 36.4 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).mp4 34.1 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/003 Basic Image Search (Code).mp4 34.0 MB
~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/003 Data Science in Pytorch - Part 2(Code).mp4 34.0 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/001 Supervised Contrastive Learning.mp4 32.5 MB
~Get Your Files Here !/01 Introduction/003 Applications.mp4 31.9 MB
~Get Your Files Here !/03 Pytorch AutoGrad/002 Custom CNN in Pytorch.mp4 31.7 MB
~Get Your Files Here !/10 PEARL/004 PEARL Results.mp4 31.7 MB
~Get Your Files Here !/15 Bonus Lectures/001 Vissl & Albumentations.mp4 31.6 MB
~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/006 RandAugment.mp4 30.2 MB
~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/008 Non Parametric Softmax (CrossEntropy) (Code).mp4 30.0 MB

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[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

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22 - Style transfer/205 - Transferring the screaming bathtub.mp4 361.5 MB
19 - Understand and design CNNs/176 - Classify Gaussian blurs.mp4 293.3 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/218 - CodeChallenge sine wave extrapolation.mp4 272.5 MB
18 - Convolution and transformations/163 - Convolution in code.mp4 270.8 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/217 - Predicting alternating sequences.mp4 259.1 MB
26 - Where to go from here/229 - How to read academic DL papers.mp4 232.8 MB
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19 - Understand and design CNNs/174 - CNN to classify MNIST digits.mp4 228.4 MB
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7 - ANNs Artificial Neural Networks/52 - Multioutput ANN iris dataset.mp4 225.5 MB
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21 - Transfer learning/200 - Pretraining with autoencoders.mp4 218.8 MB
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21 - Transfer learning/198 - Transfer learning with ResNet18.mp4 210.9 MB
16 - Autoencoders/157 - Autoencoder with tied weights.mp4 210.4 MB
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10 - Metaparameters activations optimizers/82 - The wine quality dataset.mp4 203.8 MB
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[ FreeCourseWeb.com ] Udemy - Deep Learning- Recurrent Neural Networks in Python (Updated 8-2019).zip

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[DesireCourse.Com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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01 Introduction/001 Introduction.mp4 12.5 MB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.srt 17.6 kB
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01 Introduction/003 FAQ - Frequently Asked Questions.html 1.6 kB
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02 Installation and Setup/004 Quick Note for MacOS and Linux Users.html 3.1 kB
02 Installation and Setup/005 Installing TensorFlow Environment-subtitle-en.srt 20.9 kB
02 Installation and Setup/005 Installing TensorFlow Environment.mp4 29.2 MB
03 What is Machine Learning_/006 Machine Learning Overview-subtitle-en.srt 28.2 kB
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03 What is Machine Learning_/external_links.txt 130 Bytes
04 Crash Course Overview/007 Crash Course Section Introduction-subtitle-en.srt 2.1 kB
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04 Crash Course Overview/008 NumPy Crash Course-subtitle-en.srt 24.8 kB
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[ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip

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[ DevCourseWeb.com ] Udemy - Deep Learning with Google Colab

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