Mastering TensorFlow 1.x Code Notes
Mastering TensorFlow 1.x Code Notes
1 TensorFlow 101
2 High-Level Libraries for TensorFlow
3 Keras
4.1 Regression with TensorFlow
4.2 Classification with TensorFlow
5 Classification with TensorFlow
6 CNN for MNIST with TensorFlow and Keras
7.1 RNN in TensorFlow - TimeSeries Data
7.2 RNN in TensorFlow Keras - TimeSeries Data
8.1 Word Vectors and Embeddings in TensorFlow and Keras
8.2 RNN in TensorFlow for Text Data (NLP)
8.3 RNN in Keras for Text Data (NLP)
9.1 CNN for MNIST with TensorFlow and Keras
9.2 ConvNets for CIFAR10 with TensorFlow and Keras
10 AutoEncoders
11.1 Saving and Restoring TensorFlow Models
11.2 Saving TF Models with SavedModel for TF Serving
11.3 MNIST Client Example
12.1 VGG16 in TensorFlow
12.2 VGG16 in Keras
12.3 Inception V3 in TensorFlow
13.1 Reinforcement Learning
13.2 Deep Reinforcement Learning
14.1 Generative Adversarial Networks
14.2 Generative Adversarial Networks - DCGAN
15.1 mnist dist async
15.2 mnist dist slurm
15.3 mnist dist sync
17.1 TensorFlow in R
17.2 TF Estimator in R
17.3 Keras in R
17.4 TensorBoard and tfruns in R
18.1 mnist tfdbg
18.2 Debugging Models in TensorFlow
Powered by
GitBook
Mastering TensorFlow 1.x Code Notes
Mastering TensorFlow 1.x Code Notes
From:
PacktPublishing/Mastering-TensorFlow-1x
results matching "
"
No results matching "
"
