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1
Intro to Deep Learning and Computer Vision | Kaggle
2
Building Models from Convolutions | Kaggle
3
Programming in TensorFlow and Keras | Kaggle
4
Transfer Learning | Kaggle
5
Data Augmentation | Kaggle
6
A Deeper Understanding of Deep Learning | Kaggle
7
Deep Learning from Scratch | Kaggle
8
Stride Length and Dropout for Better Deep Learning Models | Kaggle
9
TPUs, systolic arrays, and bfloat16: accelerate your deep learning | Kaggle
10
Learn With Me: Getting Started with Tensor Processing Units (TPUs) | Kaggle
11
TPUs: AlphaGo to Speech Recognition | Kaggle
12
Getting Curious: What it takes to build a TPU | Kaggle
13
TPU Notebook Walkthrough: Introduction to TFRecords | Kaggle
Description:
Dive into the world of deep learning with this comprehensive 1.5-hour course from Kaggle. Explore key concepts including computer vision, convolutional neural networks, TensorFlow and Keras programming, transfer learning, and data augmentation. Gain a deeper understanding of deep learning fundamentals, learn to build models from scratch, and optimize them using techniques like stride length adjustment and dropout. Discover the power of Tensor Processing Units (TPUs) and their applications in cutting-edge AI, from AlphaGo to speech recognition. Get hands-on experience with TPU notebooks and learn to work with TFRecords for efficient data processing.

Deep Learning

Kaggle
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#Computer Science #Deep Learning #Artificial Intelligence #Computer Vision #Machine Learning #TensorFlow #Keras #Transfer Learning #TPUs #Data Augmentation
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Intro to Deep Learning and Computer Vision | Kaggle