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18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
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37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
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35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

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07 - Homework Challenge - Detect Epic Horses galloping in Monument Valley/002 Homework Challenge - Solution (Video).mp4 231.0 MB
04 - Homework Challenge - Build a Happiness Detector/002 Homework Challenge - Solution (Video).mp4 185.0 MB
06 - Module 2 - Object Detection with SSD/009 Object Detection - Step 9.mp4 175.6 MB
09 - Module 3 - Image Creation with GANs/012 GANs - Step 12.mp4 157.9 MB
08 - Module 3 - Generative Adversarial Networks (GANs) Intuition/006 Applications of GANs.mp4 133.3 MB
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05 - Module 2 - Object Detection Intuition/002 How SSD is different.mp4 112.6 MB
10 - Annex 1 Artificial Neural Networks/001 What is Deep Learning.mp4 108.0 MB
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09 - Module 3 - Image Creation with GANs/009 GANs - Step 9.mp4 93.6 MB
11 - Annex 2 Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
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06 - Module 2 - Object Detection with SSD/010 Object Detection - Step 10.mp4 75.7 MB
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03 - Module 1 - Face Detection with OpenCV/009 Face Detection - Step 6.mp4 70.2 MB
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12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
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~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
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