emojifycoursera

2018年4月5日 — 吴恩达(Andrew Ng)是世界知名的机器学习和人工智能专家，他在Coursera开设的机器学习课程被全球众多学习者视为入门AI领域的经典资源。这个压缩包中的PPT正 ...

2018年4月8日 — 自动表情符号. 在这个练习中，首先完成基准模型Emojifier-V1，使用word embeddings求平均值。可以通过输入的句子输出一个表情符号。

This document describes an Emojifier model that takes sentences as input and outputs the most appropriate emoji. It presents a baseline model called Emojifier- ...

2019年5月27日 — In this exercise, you'll start with a baseline model (Emojifier-V1) using word embeddings, then build a more sophisticated model (Emojifier-V2) ...

This repo contains all of the solved assignments of Coursera's most famous Deep Learning Specialization of 5 courses offered by deeplearning.ai ... W2A2 - Emojify ...

What we'll build: · Create an embedding layer in Keras with pre-trained word vectors · Explain the advantages and disadvantages of the GloVe algorithm

Some ideas and the structure of the neural network come from Coursera Deep Learning Specialization. The dataset can be download from here. Preview dataset ...

2023年12月5日 — The last time this notebook was updated and deployed to Coursera was Aug 2023. If the notebook was broken, by now we would have many reports ...

Challenge - Emojify!•3 minutes; Solution - Emojify!•5 minutes; Challenge: Is it an Anagram?•1 minute; Solution - Is It an Anagram?•3 minutes; Challenge - Decode ...

... 180 minutes; Emojify•180 minutes. Sequence Models & Attention Mechanism. Module 3•8 hours to complete. Close. Sequence Models & Attention Mechanism. Augment ...