Deep learning with TensorFlow [Video]

磁力链接/BT种子名称

Deep learning with TensorFlow [Video]

磁力链接/BT种子简介

种子哈希：7a9676f11a76ce9cda9df93983f8680e962c93a3
文件大小：447.23M
已经下载：2333次
下载速度：极快
收录时间：2017-07-18
最近下载：2025-10-21

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文件列表

  • 01-The Course Overview.mp4 11.6 MB
  • 02-Installing TensorFlow.mp4 21.5 MB
  • 02-Installing TensorFlow.txt 334 Bytes
  • 03-Simple Computations.mp4 21.4 MB
  • 03-Simple Computations.txt 343 Bytes
  • 04-Logistic Regression Model Building.mp4 27.1 MB
  • 04-Logistic Regression Model Building.txt 392 Bytes
  • 05-Logistic Regression Training.mp4 19.2 MB
  • 05-Logistic Regression Training.txt 383 Bytes
  • 06-Basic Neural Nets.mp4 20.3 MB
  • 06-Basic Neural Nets.txt 453 Bytes
  • 07-Single Hidden Layer Model.mp4 19.8 MB
  • 07-Single Hidden Layer Model.txt 244 Bytes
  • 08-Single Hidden Layer Explained.mp4 17.9 MB
  • 08-Single Hidden Layer Explained.txt 270 Bytes
  • 09-Multiple Hidden Layer Model.mp4 20.8 MB
  • 09-Multiple Hidden Layer Model.txt 446 Bytes
  • 10-Multiple Hidden Layer Results.mp4 18.2 MB
  • 10-Multiple Hidden Layer Results.txt 289 Bytes
  • 11-Convolutional Layer Motivation.mp4 13.4 MB
  • 11-Convolutional Layer Motivation.txt 391 Bytes
  • 12-Convolutional Layer Application.mp4 26.9 MB
  • 12-Convolutional Layer Application.txt 344 Bytes
  • 13-Pooling Layer Motivation.mp4 9.9 MB
  • 13-Pooling Layer Motivation.txt 409 Bytes
  • 14-Pooling Layer Application.mp4 16.8 MB
  • 14-Pooling Layer Application.txt 282 Bytes
  • 15-Deep CNN.mp4 25.2 MB
  • 15-Deep CNN.txt 315 Bytes
  • 16-Deeper CNN.mp4 16.3 MB
  • 16-Deeper CNN.txt 251 Bytes
  • 17-Wrapping Up Deep CNN.mp4 19.2 MB
  • 17-Wrapping Up Deep CNN.txt 220 Bytes
  • 18-Introducing Recurrent Neural Networks.mp4 34.9 MB
  • 18-Introducing Recurrent Neural Networks.txt 418 Bytes
  • 19-skflow.mp4 36.1 MB
  • 19-skflow.txt 285 Bytes
  • 20-RNNs in skflow.mp4 15.7 MB
  • 20-RNNs in skflow.txt 155 Bytes
  • 21-Research Evaluation.mp4 27.0 MB
  • 22-The Future of TensorFlow.mp4 10.4 MB
  • 22-The Future of TensorFlow.txt 306 Bytes
  • CODE/5582_01_Code/5582_01_02_Code/install.sh 453 Bytes
  • CODE/5582_01_Code/5582_01_03_Code/simple.py 2.2 kB
  • CODE/5582_01_Code/5582_01_04_Code/data_with_labels.npz 3.6 MB
  • CODE/5582_01_Code/5582_01_04_Code/logistic.py 3.2 kB
  • CODE/5582_01_Code/5582_01_05_Code/logistic.py 3.2 kB
  • CODE/5582_02_Code/5582_02_01_Code/basic_nn.py 1.2 kB
  • CODE/5582_02_Code/5582_02_02_Code/single_hidden.py 3.3 kB
  • CODE/5582_02_Code/5582_02_03_Code/single_hidden.py 3.3 kB
  • CODE/5582_02_Code/5582_02_04_Code/mlp.py 3.7 kB
  • CODE/5582_02_Code/5582_02_05_Code/mlp.py 3.7 kB
  • CODE/5582_03_Code/5582_03_02_Code/conv_simple.py 2.2 kB
  • CODE/5582_03_Code/5582_03_04_Code/conv_simple.py 2.2 kB
  • CODE/5582_03_Code/5582_03_05_Code/conv.py 5.2 kB
  • CODE/5582_03_Code/5582_03_05_Code/data_with_labels.npz 3.6 MB
  • CODE/5582_03_Code/5582_03_06_Code/conv_p2.py 5.9 kB
  • CODE/5582_03_Code/5582_03_07_Code/conv_p2.py 5.9 kB
  • CODE/5582_03_Code/5582_03_07_Code/data_with_labels.npz 3.6 MB
  • CODE/5582_04_Code/5582_04_01_Code/rnn.odg 10.2 kB
  • CODE/5582_04_Code/5582_04_01_Code/rnn_tf.py 3.8 kB
  • CODE/5582_04_Code/5582_04_01_Code/weather.npz 285.7 kB
  • CODE/5582_04_Code/5582_04_02_Code/data_with_labels.npz 3.6 MB
  • CODE/5582_04_Code/5582_04_02_Code/skflow_intro.py 4.0 kB
  • CODE/5582_04_Code/5582_04_03_Code/rnn_tf.py 3.8 kB
  • CODE/5582_04_Code/5582_04_03_Code/weather.npz 285.7 kB
  • CODE/5582_04_Code/skflow_intro.py 3.8 kB
  • CODE/5582_04_Code/weather.npz 285.7 kB
  • CODE/5582_05_Code/5582_05_01_Code/conv1.odg 21.3 kB
  • CODE/5582_05_Code/5582_05_01_Code/conv2.odg 23.0 kB
  • CODE/5582_05_Code/5582_05_01_Code/data_review.py 924 Bytes
  • CODE/5582_05_Code/5582_05_01_Code/data_with_labels.npz 3.6 MB
  • CODE/5582_05_Code/5582_05_01_Code/logistic.odg 13.5 kB
  • CODE/5582_05_Code/5582_05_01_Code/mlp.odg 20.8 kB
  • CODE/5582_05_Code/5582_05_01_Code/single_hidden.odg 19.4 kB
  • content.txt 3.4 kB

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