Deep Learning in Python
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README
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Welcome to Deep Learning in Python!
Your download contains:
1. The Ebook:
deep_learning_with_python.pdf
2. Sample Code:
code/
Keep your receipt email, you can use it to re-download your book any time in the future.
Any questions at all, contact me direction via email: jason@MachineLearningMastery.com
Kind Regards,
Jason.
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
Welcome to Deep Learning With Python. This book is your guide to deep learning in Python. You will discover the Keras Python library for deep learning and how to use it to develop and evaluate deep learning models. In this book you will discover the techniques, recipes and skills in deep learning that you can then bring to your own machine learning projects. Deep learning does have a lot of fascinating math under the covers, but you do not need to know it to be able to pick it up as a tool and wield it on important projects and deliver real value. From the applied perspective, deep learning is quite a shallow field and a motivated developer can quickly pick it up and start making very real and impactful contributions.
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deep_learning_with_python.zip (84个子文件)
README.txt 396B
code
chapter_22
imdb_plot.py 819B
imdb_mlp.py 1KB
imdb_cnn.py 1KB
chapter_10
iris.csv 4KB
iris_example.py 1KB
chapter_25
lstm_stacked.py 3KB
lstm_stateful.py 3KB
international-airline-passengers.csv 2KB
lstm_window.py 3KB
lstm_simple.py 3KB
lstm_time_steps.py 3KB
chapter_20
augment_feature_standardize.py 1KB
augment_baseline.py 344B
augment_zca.py 967B
augment_shifts.py 1009B
augment_save_to_file.py 1KB
augment_rotations.py 968B
augment_flips.py 987B
chapter_19
mnist_cnn.py 2KB
mnist_plot.py 525B
mnist_cnn_large.py 2KB
mnist_mlp_baseline.py 1KB
chapter_27
lstm_var_length.py 2KB
lstm_char_seq_features.py 2KB
lstm_char_seq_timesteps.py 2KB
lstm_one_char_stateful.py 2KB
lstm_char_seq_batch.py 2KB
lstm_one_char.py 2KB
chapter_17
decay_time_based.py 1KB
decay_drop_based.py 1KB
ionosphere.csv 75KB
chapter_24
mlp_window.py 2KB
international-airline-passengers.csv 2KB
mlp_simple.py 2KB
chapter_16
dropout_visible.py 2KB
sonar.csv 86KB
dropout_hidden.py 2KB
baseline.py 2KB
chapter_21
cifar10_plot.py 345B
cifar10_cnn.py 2KB
cifar10_cnn_large.py 2KB
chapter_13
serialize_yaml.py 2KB
serialize_json.py 2KB
pima-indians-diabetes.csv 23KB
chapter_11
sonar.csv 86KB
sonar_baseline.py 1KB
sonar_standardized.py 2KB
sonar_standardized_smaller.py 2KB
sonar_standardized_larger.py 2KB
chapter_07
pima-indians-diabetes.csv 23KB
first_mlp.py 793B
chapter_26
lstm_dropout_gates.py 1KB
lstm_dropout_layers.py 1KB
lstm_cnn.py 1KB
lstm_simple.py 1KB
chapter_28
weights-improvement-19-1.9435.hdf5 1.06MB
weights-improvement-47-1.2219-bigger.hdf5 3.07MB
lstm_larger_gen_text.py 2KB
lstm_small.py 2KB
wonderland.txt 144KB
lstm_gen_text.py 2KB
lstm_larger.py 2KB
chapter_09
sklearn_grid_search_params.py 2KB
pima-indians-diabetes.csv 23KB
sklearn_cross_validation.py 1KB
chapter_03
tensorflow_example.py 384B
chapter_14
checkpoint_best_model.py 1KB
checkpoint_load.py 1KB
pima-indians-diabetes.csv 23KB
checkpoint_model_improvements.py 1KB
chapter_08
manual_split.py 925B
manual_cross_validation.py 1KB
pima-indians-diabetes.csv 23KB
automatic_split.py 704B
chapter_02
theano_example.py 396B
chapter_15
plot_history.py 1KB
pima-indians-diabetes.csv 23KB
chapter_12
boston_standardized.py 1KB
housing.csv 48KB
boston_baseline.py 1KB
boston_standardized_larger.py 1KB
boston_standardized_wider.py 1KB
deep_learning_with_python.pdf 2.97MB
共 84 条
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资源评论
- wings_chang2018-05-05very good!
- 明东2018-03-14very good!
- 765873098348902018-03-27very good!
backershu
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- 资源: 3
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