資源簡介
Deep learning neural networks have become easy to define and fit, but are still hard to configure.
In this new eBook written in the friendly Machine Learning Mastery style that you’re used to, discover exactly how to improve the performance of deep learning neural network models on your predictive modeling projects.
With clear explanations, standard Python libraries, and step-by-step tutorial lessons, you’ll discover how to better train your models, reduce overfitting, and make more accurate predictions.

代碼片段和文件信息
#?check?library?version?numbers
#?scipy
import?scipy
print(‘scipy:?%s‘?%?scipy.__version__)
#?numpy
import?numpy
print(‘numpy:?%s‘?%?numpy.__version__)
#?matplotlib
import?matplotlib
print(‘matplotlib:?%s‘?%?matplotlib.__version__)
#?pandas
import?pandas
print(‘pandas:?%s‘?%?pandas.__version__)
#?statsmodels
import?statsmodels
print(‘statsmodels:?%s‘?%?statsmodels.__version__)
#?scikit-learn
import?sklearn
print(‘sklearn:?%s‘?%?sklearn.__version__)
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件?????9875564??2018-12-09?21:11??better_deep_learning.pdf
?????目錄???????????0??2018-12-09?21:11??code\
?????目錄???????????0??2018-12-09?21:11??code\chapter_08\
?????文件?????????373??2018-12-09?21:11??code\chapter_08\01_problem.py
?????文件????????1263??2018-12-09?21:11??code\chapter_08\03_mlp_gradient_norm_scaling.py
?????文件????????1260??2018-12-09?21:11??code\chapter_08\04_mlp_gradient_value_clipping.py
?????文件????????1212??2018-12-09?21:11??code\chapter_08\02_mlp_exploding.py
?????目錄???????????0??2018-12-09?21:11??code\chapter_06\
?????文件?????????414??2018-12-09?21:11??code\chapter_06\01_problem.py
?????文件????????1592??2018-12-09?21:11??code\chapter_06\03_mlp_standardized_target.py
?????文件????????1212??2018-12-09?21:11??code\chapter_06\02_mlp_unscaled.py
?????文件????????3120??2018-12-09?21:11??code\chapter_06\04_mlp_scale_input.py
?????目錄???????????0??2018-12-09?21:11??code\chapter_07\
?????文件?????????436??2018-12-09?21:11??code\chapter_07\03_problem.py
?????文件?????????369??2018-12-09?21:11??code\chapter_07\02_rectifier_plot.py
?????文件????????1965??2018-12-09?21:11??code\chapter_07\05_mlp_tanh_deeper.py
?????文件????????2986??2018-12-09?21:11??code\chapter_07\07_mlp_relu_deeper_20.py
?????文件?????????528??2018-12-09?21:11??code\chapter_07\01_rectifier.py
?????文件????????1912??2018-12-09?21:11??code\chapter_07\06_mlp_relu_deeper.py
?????文件????????2626??2018-12-09?21:11??code\chapter_07\07_mlp_relu_deeper_15.py
?????文件????????1731??2018-12-09?21:11??code\chapter_07\04_mlp_tanh.py
?????目錄???????????0??2018-12-09?21:11??code\chapter_09\
?????文件????????1439??2018-12-09?21:11??code\chapter_09\02_mlp.py
?????文件?????????436??2018-12-09?21:11??code\chapter_09\01_problem.py
?????文件????????1604??2018-12-09?21:11??code\chapter_09\04_mlp_batchnorm_before.py
?????文件????????1556??2018-12-09?21:11??code\chapter_09\03_mlp_batchnorm_after.py
?????目錄???????????0??2018-12-09?21:11??code\chapter_13\
?????文件?????????490??2018-12-09?21:11??code\chapter_13\01_problem.py
?????文件????????1429??2018-12-09?21:11??code\chapter_13\03_mlp_weight_reg.py
?????文件????????1346??2018-12-09?21:11??code\chapter_13\02_mlp_overfit.py
?????文件????????1335??2018-12-09?21:11??code\chapter_13\04_grid_search.py
............此處省略114個文件信息
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