We will define some of the Hyperparameters for our model as follows:
size_layer = 128
num_layers = 2
embedded_size = 128
dimension_output = len(trainset.target_names)
learning_rate = 1e-3
maxlen = 50
batch_size = 128
- 1 - Building Deep Learning Environment
- 2 - Training NN for Prediction using Regression
- 3 - Word representation using Word2VEC
- 4 - Build NLP pipeline for building chatbots
- 5 - Sequence-to-sequence models for building chatbots
- 6 Generative Language model for content creation
- 14 - Image translation using GANs for style transfer
- 15- Develop an autonomous Agents with Deep R Learning
Hyperparameter
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.