文件名称：吴恩达深度学习课后习题 第 5 章
文件大小：167.06MB
文件格式：ZIP
更新时间：2022-04-20 11:44:09
吴恩达 深度学习 课后习题
吴恩达深度学习课后习题和代码 deep-learning-coursera 包含数据
【文件预览】：
Sequence Models
----.ipynb_checkpoints()
--------Improvise a Jazz Solo with an LSTM Network - v1-checkpoint.ipynb(1.71MB)
--------Building a Recurrent Neural Network - Step by Step - v2-checkpoint.ipynb(84KB)
--------Dinosaurus Island -- Character level language model final - v3-checkpoint.ipynb(45KB)
----week2()
--------.ipynb_checkpoints()
--------Emojify - v2.ipynb(68KB)
--------w2v_utils.py(5KB)
--------emo_utils.py(4KB)
--------Operations on word vectors - v2.ipynb(33KB)
--------__pycache__()
--------data()
----music_utils.py(3KB)
----Dinosaurus Island -- Character level language model final - v3.ipynb(45KB)
----data_utils.py(6KB)
----Improvise a Jazz Solo with an LSTM Network - v1.ipynb(1.64MB)
----output()
--------my_music.midi(3KB)
----rnn_step_by_step.py(7KB)
----images()
--------music_gen.png(185KB)
--------neutralize.png(88KB)
--------woebot.png(410KB)
--------neutral.png(98KB)
--------train_reference.png(342KB)
--------emojifier-v2.png(151KB)
--------attn_mechanism.png(168KB)
--------dataset_kiank.png(421KB)
--------equalize10.png(119KB)
--------neutralize_kiank.png(108KB)
--------emojifierv1.png(198KB)
--------attn_model.png(271KB)
--------emb_kiank.png(216KB)
--------data_set.png(201KB)
--------spectrogram.png(42KB)
--------table.png(87KB)
--------emo_model.png(257KB)
--------sound.png(197KB)
--------image_1.png(240KB)
--------mangosaurus.jpeg(273KB)
--------ones_reference.png(37KB)
--------date_attention.png(131KB)
--------shakespeare.jpg(546KB)
--------embedding1.png(327KB)
--------rnn_step_forward.png(139KB)
--------label_diagram.png(81KB)
--------music_generation.png(154KB)
--------model.png(136KB)
--------clip.png(160KB)
--------1-hot-vector.png(98KB)
--------dino.jpg(467KB)
--------date_attention2.png(130KB)
--------jazz.jpg(226KB)
--------cosine_sim.png(104KB)
--------initial_state.png(140KB)
--------rnn_cell_backprop.png(146KB)
--------poorly_trained_model.png(10KB)
--------LSTM_rnn.png(84KB)
--------LSTM.png(158KB)
--------lookup.png(59KB)
--------RNN.png(58KB)
--------rnn1.png(93KB)
--------emojify_model.png(258KB)
--------dinos3.png(154KB)
--------model_trigger.png(227KB)
--------train_label.png(41KB)
--------emojiss.png(807KB)
----cllm_utils.py(4KB)
----rnn_utils.py(5KB)
----Building a Recurrent Neural Network - Step by Step - v2.ipynb(84KB)
----shakespeare_utils.py(5KB)
----week3()
--------.ipynb_checkpoints()
--------model.h5(682KB)
--------Neural machine translation with attention - v2.ipynb(91KB)
--------nmt_utils.py(7KB)
--------__pycache__()
--------Trigger word detection - v1.ipynb(20.82MB)
----__pycache__()
--------rnn_utils.cpython-35.pyc(4KB)
----week1()
--------shakespeare.png(11KB)
--------midi.py(4KB)
--------models()
--------output()
--------rnn_utils.py(9KB)
--------dinos.txt(19KB)
--------data()
--------tune1.midi(137B)
--------inference_code.py(2KB)
--------shakespeare.txt(92KB)
----preprocess.py(6KB)
----grammar.py(15KB)
----qa.py(3KB)