文件名称：Deep Learning with python (Keras)
文件大小：19.08MB
文件格式：ZIP
更新时间：2021-02-13 07:12:58
DeepLearning python Keras
Deep Learning with python (Keras)，包含实现代码，可操作性强
【文件预览】：
code
----.ipynb_checkpoints()
--------5.4-visualizing-what-convnets-learn-checkpoint.ipynb(6.68MB)
--------5.2-using-convnets-with-small-datasets-checkpoint.ipynb(421KB)
--------3.7-predicting-house-prices-checkpoint.ipynb(69KB)
--------3.6-classifying-newswires-checkpoint.ipynb(62KB)
--------5.3-using-a-pretrained-convnet-checkpoint.ipynb(228KB)
--------4.4-overfitting-and-underfitting-checkpoint.ipynb(104KB)
--------5.1-introduction-to-convnets-checkpoint.ipynb(11KB)
--------2.1-a-first-look-at-a-neural-network-checkpoint.ipynb(14KB)
----6.2-understanding-recurrent-neural-networks.ipynb(83KB)
----5.2-using-convnets-with-small-datasets.ipynb(421KB)
----3.6-classifying-newswires.ipynb(62KB)
----5.4-visualizing-what-convnets-learn.ipynb(6.68MB)
----6.1-one-hot-encoding-of-words-or-characters.ipynb(9KB)
----6.1-using-word-embeddings.ipynb(92KB)
----LICENSE(1KB)
----8.4-generating-images-with-vaes.ipynb(277KB)
----8.2-deep-dream.ipynb(196KB)
----6.4-sequence-processing-with-convnets.ipynb(92KB)
----README.md(4KB)
----6.3-advanced-usage-of-recurrent-neural-networks.ipynb(199KB)
----3.5-classifying-movie-reviews.ipynb(68KB)
----5.1-introduction-to-convnets.ipynb(11KB)
----3.7-predicting-house-prices.ipynb(69KB)
----8.3-neural-style-transfer.ipynb(405KB)
----8.1-text-generation-with-lstm.ipynb(157KB)
----5.3-using-a-pretrained-convnet.ipynb(228KB)
----2.1-a-first-look-at-a-neural-network.ipynb(14KB)
----8.5-introduction-to-gans.ipynb(144KB)
----4.4-overfitting-and-underfitting.ipynb(104KB)
（Keras）Deep-Learning-with-python.pdf