1.3.2 UnSupervised and Self-Supervised Learning The author lists the difference between traditional software engineering and machine learning. While software engineering focuses on solving problems with rule-based solutions, machine learning(deep learning) tries to solve problems that are ambiguous and the solution can evlove by itself after seeing more examples.
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colab 2.1.1 Get Started import jax from jax import numpy as jnp x = jnp.arange(12) x -> Array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], dtype=int32) x.
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1.0 Introduction The author lists the difference between traditional software engineering and machine learning. While software engineering focuses on solving problems with rule-based solutions, machine learning(deep learning) tries to solve problems that are ambiguous and the solution can evlove by itself after seeing more examples.
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This article sumarizes lecture 1 and 2, covering word2vec
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Deep Retrieval
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two tower model full update/incremental update, self-supervised learning
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two tower model Architecture + Training, Positive Samples + Negative Samples
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discrete feature, matrix completion
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