课程五(Sequence Models)，第一周（Recurrent Neural Networks） —— 1.Programming assignments：Building a recurrent neural network - step by step

【课程五(Sequence Models)，第一周（Recurrent Neural Networks） —— 1.Programming assignments：Building a recurrent neural network - step by step】的更多相关文章

吴恩达《深度学习》-第五门课序列模型(Sequence Models)-第一周循环序列模型（Recurrent Neural Networks） -课程笔记

第一周循环序列模型(Recurrent Neural Networks) 1.1 为什么选择序列模型?(Why Sequence Models?) 1.2 数学符号(Notation) 这个输入数据是 9 个单词组成的序列,所以会有 9 个特征集和来表示这 9 个单词,并按序列中的位置进行索引,用\(…

课程五(Sequence Models)，第一周（Recurrent Neural Networks） —— 1.Programming assignments：Building a recurrent neural network - step by step

Building your Recurrent Neural Network - Step by Step Welcome to Course 5's first assignment! In this assignment, you will implement your first Recurrent Neural Network in numpy. Recurrent Neural Networks (RNN) are very effective for Natural Language…

课程五(Sequence Models)，第一周（Recurrent Neural Networks） —— 2.Programming assignments：Dinosaur Island - Character-Level Language Modeling

Character level language model - Dinosaurus land Welcome to Dinosaurus Island! 65 million years ago, dinosaurs existed, and in this assignment they are back. You are in charge of a special task. Leading biology researchers are creating new breeds of…

课程五(Sequence Models)，第三周（Sequence models & Attention mechanism） —— 1.Programming assignments：Neural Machine Translation with Attention

Neural Machine Translation Welcome to your first programming assignment for this week! You will build a Neural Machine Translation (NMT) model to translate human readable dates ("25th of June, 2009") into machine readable dates ("2009-06-25…

课程一(Neural Networks and Deep Learning)，第四周（Deep Neural Networks）——2.Programming Assignments: Building your Deep Neural Network: Step by Step

Building your Deep Neural Network: Step by Step Welcome to your third programming exercise of the deep learning specialization. You will implement all the building blocks of a neural network and use these building blocks in the next assignment to bui…

课程五(Sequence Models)，第一周（Recurrent Neural Networks） —— 3.Programming assignments：Jazz improvisation with LSTM

Improvise a Jazz Solo with an LSTM Network Welcome to your final programming assignment of this week! In this notebook, you will implement a model that uses an LSTM to generate music. You will even be able to listen to your own music at the end of th…

课程五(Sequence Models)，第一周（Recurrent Neural Networks） —— 0.Practice questions：Recurrent Neural Networks

[解释] It is appropriate when every input should be matched to an output. [解释] in a language model we try to predict the next step based on the knowledge of all prior steps. [解释] Γu is a vector of dimension equal to the number of hidden units in the LS…

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…

课程五(Sequence Models)，第三周（Sequence models & Attention mechanism） —— 0.Practice questions：Sequence models & Attention mechanism

…

课程五(Sequence Models)，第二周（Natural Language Processing & Word Embeddings） —— 2.Programming assignments：Emojify

Emojify! Welcome to the second assignment of Week 2. You are going to use word vector representations to build an Emojifier. Have you ever wanted to make your text messages more expressive? Your emojifier app will help you do that. So rather than wri…

【课程五(Sequence Models)，第一 周（Recurrent Neural Networks） —— 1.Programming assignments：Building a recurrent neural network - step by step】的更多相关文章

【课程五(Sequence Models)，第一周（Recurrent Neural Networks） —— 1.Programming assignments：Building a recurrent neural network - step by step】的更多相关文章