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Google

Machine Learning Foundations

Google via YouTube

Overview

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Learn the fundamentals of machine learning and build machine learned models using TensorFlow in this comprehensive free training course from Google. Master essential concepts starting with the basics of machine learning, then progress through computer vision by constructing neural networks and implementing convolutional neural networks for real-world image classification tasks. Explore advanced techniques including convolutions, pooling, image augmentation, and overfitting prevention while working on practical projects like classifying cats and dogs. Dive into natural language processing fundamentals covering tokenization, sequencing APIs, and build practical applications including a sarcasm classifier. Gain hands-on experience with TensorFlow through guided instruction from Laurence Moroney, developing skills in both computer vision and NLP domains essential for modern machine learning applications.

Syllabus

Machine Learning Foundations: Ep #1 - What is ML?
Computer vision by building a neural network with TensorFlow | Machine Learning Foundations
Machine Learning Foundations: Ep #3 - Convolutions and pooling
Machine Learning Foundations: Ep #4 - Coding with Convolutional Neural Networks
Real-world image classification using convolutional neural networks | Machine Learning Foundations
Machine Learning Foundations: Ep #6 - Convolutional cats and dogs
Machine Learning Foundations: Ep #7 - Image augmentation and overfitting
Machine Learning Foundations: Ep #8 - Tokenization for Natural Language Processing
Natural Language Processing: Using sequencing APIs in TensorFlow | Machine Learning Foundations
Build a sarcasm classifier using NLP and TensorFlow | Machine Learning Foundations

Taught by

Google Developers

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