Sequence Models Week 3 Trigger word detection

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Sequence Models Week 3 Trigger word detection

Trigger Word Detection Welcome to the final programming assignment of this specialization! In this week's videos, you learned about applying deep learning to speech recognition. In this assignment, you will construct a speech dataset and implement an…

课程五(Sequence Models)，第三周（Sequence models & Attention mechanism） —— 2.Programming assignments：Trigger word detection

Expected OutputTrigger Word Detection Welcome to the final programming assignment of this specialization! In this week's videos, you learned about applying deep learning to speech recognition. In this assignment, you will construct a speech dataset a…

Sequence Model-week3编程题2-Trigger Word Detection

1. Trigger Word Detection 我们的触发词将是 "Activate.".每当它听到你说 "Activate.",它就会发出 "chiming" 的声音. 在此作业结束时,您将能够记录您自己谈话的片段,并让算法在检测到您说"Activate."时触发一个钟声: 构成一个语音识别项目合成和处理音频记录以创建train/dev数据集训练触发词检测模型并进行预测 import numpy as np fr…

Sequence Models 笔记（二）

2 Natural Language Processing & Word Embeddings 2.1 Word Representation(单词表达) vocabulary,每个单词可以使用1-hot表示,写作\(O^{5391}\)之类,上标可以变.只是用1-hot,不能知道任意两个单词的关系,例如man/woman;king/queen;apple/orange. 特征化表示:词嵌入(Featurized representation:word embedding).一个特征,使用-1到…

Sequence Models

Sequence Models This is the fifth and final course of the deep learning specialization at Coursera which is moderated by deeplearning.ai Here are the course summary as its given on the course link: This course will teach you how to build models for n…

[C5W3] Sequence Models - Sequence models & Attention mechanism

第三周序列模型和注意力机制(Sequence models & Attention mechanism) 基础模型(Basic Models) 在这一周,你将会学习 seq2seq(sequence to sequence)模型,从机器翻译到语音识别,它们都能起到很大的作用,从最基本的模型开始.之后你还会学习集束搜索(Beam search)和注意力模型(Attention Model),一直到最后的音频模型,比如语音. 现在就开始吧,比如你想通过输入一个法语句子,比如这句 "Jane…

[C7] Andrew Ng - Sequence Models

About this Course This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting…