https://github.com/eastmountyxz/ AI-for-Keras 学Python近八年,认识了很多大佬和朋友,感恩。作者的本意是帮助更多初学者入门,因此在github开源了所有代码,也在公众号同步更新。深知自己很菜,得拼命努力前行,编程也没有什么捷径,干就对了。希望未来能更透彻学习和撰写文章,也能在读博几年里学会真正的独立科研。...
example_0() 质数列表全都除以100,这个代码训练数据必须是小于1数值。 torch是深度学习框架。1)tensorflow,谷歌主推,时下最火,小型试验和大型计算都可以,基于python,缺点是上手相对较难,速度一般;2)torch,facebook主推,用于小型试验,开源应用较多,基于lua,上手较快,网上文档较全,缺点是lua语言相对冷门;3)mxnet,Am...
p -- python list containing: W_f -- Weight matrix of the forget gate, numpy array of shape (n_a, n_a + n_x) b_f -- Bias of the forget gate, numpy array of shape (n_a, 1) W_i -- Weight matrix of the update gate, numpy array of shape (n_a, n_a + n_x) b_i -...
```pythonimport xgboost as xgbfrom sklearn.model_selection import train_test_splitfrom sklearn.metrics import mean_squared_error, r2_score, accuracy_score, mean_absolute_error, mean_absolute_percentage_error, roc_auc_score, mean_squared_log_error, hinge_loss, log_loss, mean_pinball_loss, rmsl...
legacy code: The default tokenizer implemented in the Field class is the built-in python split() function. Users choose the tokenizer by calling data.get_tokenizer(), and add it to the Field constructor. For the sequence model: it's common to append <BOS> (begin-of-sentence) ...
example we’ll use a deep learning algorithm, a stacked autoencoder, but it will work in the same way with many other machine learning algorithms. With today’s software tools, only about 20 lines of code are needed for a machine learning strategy. I’ll try to explain all steps in ...
python machine-learning information-retrieval data-mining ocr deep-learning image-processing cnn pytorch lstm optical-character-recognition crnn scene-text scene-text-recognition easyocr Updated Sep 24, 2024 Python emilwallner / Screenshot-to-code Sponsor Star 16.5k Code Issues Pull requests A neu...
For our short-term trading example we’ll use a deep learning algorithm, a stacked autoencoder, but it will work in the same way with many other machine learning algorithms. With today’s software tools, only about 20 lines of code are needed for a machine learning strategy. I’ll try ...
(4)Bi-directional lstm model example (5)kaggle notebook for text preprocessing Notebook: # This Python 3 environment comes with many helpful analytics libraries installed# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python# For example, here's several help...
example_0() 质数列表全都除以100,这个代码训练数据必须是小于1数值。 torch是深度学习框架。1)tensorflow,谷歌主推,时下最火,小型试验和大型计算都可以,基于python,缺点是上手相对较难,速度一般;2)torch,facebook主推,用于小型试验,开源应用较多,基于lua,上手较快,网上文档较全,缺点是lua语言相对冷门;3)mxnet,Am...