文件名称：scikit-and-tensorflow-workbooks：基于“使用Scikit-Learn和TensorFlow进行动手机器学习”（O'Reilly，Aurelien Geron）
文件大小：9.28MB
文件格式：ZIP
更新时间：2024-02-24 00:46:54
deep-learning tensorflow scikit-learn tensorflow-tutorials scikit-learnHTML
scikit-and-tensorflow-workbooks：基于“使用Scikit-Learn和TensorFlow进行动手机器学习”（O'Reilly，Aurelien Geron）
【文件预览】：
scikit-and-tensorflow-workbooks-master
----ch02 - cal housing analysis.html(837KB)
----ch16-reinforcement-learning.html(336KB)
----ch10-neural-nets.ipynb(103KB)
----ch09-tensorflow-setup.ipynb(73KB)
----index.md(1KB)
----ch11-DNN-training.ipynb(26KB)
----ch03-classification.ipynb(198KB)
----ch08-dimensionality-reduction.html(1.34MB)
----ch16-reinforcement-learning.ipynb(45KB)
----ch15-autoencoders.ipynb(110KB)
----ch06-decision-trees.ipynb(154KB)
----ch03-classification.html(488KB)
----book-cover.png(185KB)
----pics()
--------softmax-function.png(4KB)
--------collapsed-namescope-tensorboard.png(37KB)
--------padding-options.png(37KB)
--------nesterov.png(48KB)
--------recurrent-neurons-unrolled.png(44KB)
--------padding.png(43KB)
--------rnn-timeseries.png(37KB)
--------inception.png(45KB)
--------precision-recall-50pct.png(20KB)
--------resnet.png(64KB)
--------stacking-feature-maps.png(94KB)
--------softmax-score-for-class-k.png(1KB)
--------gru-cell.png(32KB)
--------softmax-prediction.png(4KB)
--------pooling-layer.png(25KB)
--------lenet-5.png(15KB)
--------googlenet.png(143KB)
--------recurrent-memcells.png(20KB)
--------mspacman-deepq.png(45KB)
--------nn-policy.png(58KB)
--------init-params-for-activation-funcs.png(16KB)
--------exponential-relu.png(15KB)
--------entropy.png(3KB)
--------cartpole.png(11KB)
--------decision-threshold-and-precision-vs-recall.png(124KB)
--------training-one-AE-atatime.png(42KB)
--------rnn-training.png(33KB)
--------convolution-algo.png(50KB)
--------CART-algorithm.png(9KB)
--------iris_tree.png(55KB)
--------adagrad.png(27KB)
--------cross-entropy-cost-function.png(4KB)
--------markov-chain.png(36KB)
--------alexnet.png(21KB)
--------deep-rnn.png(30KB)
--------markov-decision-process.png(70KB)
--------discount-rewards.png(55KB)
--------zero-padding.png(45KB)
--------sequence-classifier.png(19KB)
--------mspacman-before-after.png(50KB)
--------small-weight-vector-large-margin.png(58KB)
--------residual-learning.png(20KB)
--------lstm-cell.png(52KB)
--------unsupervised-pretraining.png(54KB)
--------batch-normalization.png(11KB)
--------cnn-layers.png(33KB)
--------stacked-AE.png(23KB)
--------ridge-regression-cost-function.png(3KB)
--------sigmoid.png(38KB)
--------encoder-decoder.png(80KB)
--------CART-regression-cost.png(9KB)
--------sequence-vector.png(73KB)
--------filters.png(97KB)
--------strides.png(46KB)
--------leaky-relu.png(17KB)
----ch08-dimensionality-reduction.ipynb(1.01MB)
----ch02 - cal housing analysis.ipynb(575KB)
----ch14-Recurrent-NNs.html(845KB)
----ch05-support-vector-machines.html(976KB)
----ch15-autoencoders.html(394KB)
----ch07-ensemble-learning.html(788KB)
----ch07-ensemble-learning.ipynb(495KB)
----ch13-convolutional-NNs.ipynb(538KB)
----ch09-tensorflow-setup.html(411KB)
----ch05-support-vector-machines.ipynb(629KB)
----README.md(635B)
----ch10-neural-nets.html(383KB)
----ch06-decision-trees.html(435KB)
----ch04-training-models.ipynb(351KB)
----ch12-distributed-TF.ipynb(20KB)
----ch11-DNN-training.html(294KB)
----_config.yml(27B)
----ch13-convolutional-NNs.html(798KB)
----ch04-training-models.html(658KB)
----ch14-Recurrent-NNs.ipynb(484KB)