文件名称：吴恩达-深度学习-序列模型前两周课后作业（quiz+编程作业）
文件大小：149.1MB
文件格式：RAR
更新时间：2021-10-05 04:27:58
吴恩达 深度学习 Coursera
吴恩达老师的深度学习课程的第五部分——序列模型的课后作业，前两周作业（包括课后的quiz和编程作业）都在里面，因为限制上传大小，所以分开上传。是搬运别人的资源，自己做了，感觉很不错。当时找资源时，各种痛苦，也受到了好心人的帮助，没有恶意抬高资源分数且内容全面。希望大家学习快乐~~
【文件预览】：
Week5.2_Ntural Language Processing and Word Embeddingd
----Word Vector Representation()
--------Operations+on+word+vectors+-+v2.ipynb(33KB)
--------w2v_utils.py(5KB)
--------.ipynb_checkpoints()
--------__pycache__()
--------Operations+on+word+vectors+-+v2_answer.ipynb(33KB)
--------images()
--------data()
----week2_quiz.pdf(938KB)
----Emojify()
--------Emojify+-+v1.ipynb(68KB)
--------emo_utils.py(4KB)
--------.ipynb_checkpoints()
--------Emojify+-+v2.ipynb(44KB)
--------Emojify+-+learners.ipynb(44KB)
--------__pycache__()
--------images()
--------data()
Week5.1_Recurrent Neural Networks
----2_Dinosaur Island -- Character-level language model()
--------dinos.txt(19KB)
--------shakespeare.txt(92KB)
--------shakespeare_utils.py(5KB)
--------Dinosaurus+Island+--+Character+level+language+model+final+-+v3_anwser.ipynb(46KB)
--------Dinosaurus+Island+--+Character+level+language+model+final+-+v3.ipynb(37KB)
--------utils.py(5KB)
--------models()
--------Dinosaurus+Island+--+Character-level+language+model+-+%28final%29+-+learners.ipynb(37KB)
--------images()
----3_Jazz improvisation with LSTM()
--------inference_code.py(2KB)
--------midi.py(4KB)
--------tune1.midi(137B)
--------Improvise+a+Jazz+Solo+with+an+LSTM+Network+-+v1_answer.ipynb(1.71MB)
--------qa.py(3KB)
--------Improvise+a+Jazz+Solo+with+an+LSTM+Network+-+v1.ipynb(29KB)
--------data_utils.py(6KB)
--------output()
--------preprocess.py(6KB)
--------images()
--------data()
--------grammar.py(15KB)
--------music_utils.py(3KB)
----1_Building a Recurrent Neural Network - Step by Step()
--------shakespeare.txt(92KB)
--------rnn_utils.py(5KB)
--------Building+a+Recurrent+Neural+Network+-+Step+by+Step+-+v3_answer.ipynb(80KB)
--------utils.py(4KB)
--------Building+a+Recurrent+Neural+Network+-+Step+by+Step+-+v3.ipynb(77KB)
--------images()
--------data()
----week1.pdf(1013KB)