Data Augmentation Techniques in Neural Networks with Keras and TensorFlow

Learn comprehensive data augmentation methods to enhance neural network performance using Keras and TensorFlow. Gain lifetime access and personalized guidance to become an AI engineer or freelancer.

Nicolai Nielsenโ€ข6.1K viewsโ€ข12:56

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Inside my school and program, I teach you my system to become an AI engineer or freelancer. Life-time access, personal help by me and I will show you exactly how I went from below average student to making $250/hr. Join the High Earner AI Career Program here ๐Ÿ‘‰ https://www.nicolai-nielsen.com/aicareer (PRICES WILL INCREASE SOON) You will also get access to all the technical courses inside the program, also the ones I plan to make in the future! Check out the technical courses below ๐Ÿ‘‡ _____________________________________________________________ In this video ๐Ÿ“ we are going to talk about Data Augmentation with Keras and TensorFlow. First of all, we are going to talk about what data augmentation is and why we should use it when working with neural networks. I'll show you some of the different ways and parameters that we can specify so our data will be augmented. It is used a lot to reduce overfitting in a neural network and at the end of the video, we are going to do data augmentation on a dataset in Keras. If you enjoyed this video, be sure to press the ๐Ÿ‘ button so that I know what content you guys like to see. _____________________________________________________________ ๐Ÿ› ๏ธ Freelance Work: https://www.nicolai-nielsen.com/nncode _____________________________________________________________ ๐Ÿ’ป๐Ÿ’ฐ๐Ÿ› ๏ธ High Earner AI Career Program: https://www.nicolai-nielsen.com/aicareer โš™๏ธ Real-world AI Technical Courses: (https://www.nicos-school.com) ๐Ÿ“— OpenCV GPU in Python: https://www.nicos-school.com/p/opencv-gpu-course ๐Ÿ“• YOLOv7 Object Detection: https://www.nicos-school.com/p/yolov7-custom-object-detection-with-deployment ๐Ÿ“’ Transformer & Segmentation: https://www.nicos-school.com/p/transformer-and-segmentation-course ๐Ÿ“™ YOLOv8 Object Tracking: https://www.nicos-school.com/p/yolov8-object-tracking-course ๐Ÿ“˜ Research Paper Implementation: https://www.nicos-school.com/p/research-paper-implementation ๐Ÿ“” CustomGPT: https://www.nicos-school.com/p/customgpt-course _____________________________________________________________ ๐Ÿ“ž Connect with Me: ๐ŸŒณ https://linktr.ee/nicolainielsen ๐ŸŒ My Website: https://www.nicolai-nielsen.com/ ๐Ÿค– GitHub: https://github.com/niconielsen32 ๐Ÿ‘‰ LinkedIn: https://www.linkedin.com/in/nicolaiai ๐Ÿฆ X/Twitter: https://twitter.com/NielsenCV_AI ๐ŸŒ† Instagram: https://www.instagram.com/nicolaihoeirup/ _____________________________________________________________ ๐ŸŽฎ My Gear (Affiliate links): ๐Ÿ’ป Laptop: https://amzn.to/49LJkTW ๐Ÿ–ฅ๏ธ Desktop PC: NVIDIA RTX 4090 24GB: https://amzn.to/3Uc7yAM Intel I9-14900K: https://amzn.to/3W4Z5Cb Motherboard: https://amzn.to/4aR6wBC 32GB RAM: https://amzn.to/3Jt2XVR ๐Ÿ–ฅ๏ธ Monitor: https://amzn.to/4aLP8hh ๐Ÿ–ฑ๏ธ Mouse: https://amzn.to/3W501GH โŒจ๏ธ Keyboard: https://amzn.to/3xUGz5b ๐ŸŽ™๏ธ Microphone: https://amzn.to/3w1F1WK ๐Ÿ“ท Camera: https://amzn.to/4b4Ryr9 _____________________________________________________________ Timestamps: Tags: #DataAugmentation #NeuralNetworks #Dataset #ConvolutionalNeuralNetowkrs #DeepLearning #Keras #TensorFlow

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6.1K

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119

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Duration
12:56

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Published
Mar 10, 2021

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hd

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