Learning Deep Learning and Neural Networks with TensorFlow
Ditulis pada: March 14, 2020
Learning Deep Learning and Neural Networks with TensorFlow, Learn Deep Learning, Neural Networks, Machine Learning and Data Science with Python and Tensor Flow
- NEW
- Created by The DataScience Stealth
- English
- English [Auto-generated]
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What you'll learn
- Softmax Regression
- Computation Graphs
- Understanding TensorFlow Basics
- Graphs, Sessions, and Fetches
- Fetches
- Flowing Tensors
- Nodes Are Operations, Edges Are Tensor Objects
- Casting
- Tensor Arrays and Shapes
- Variables, Placeholders, and Simple Optimization
- Deep Learning
- Neural Networks
- MSE and Cross Entropy
- The Gradient Descent Optimizer
- Linear Regression
- Convolutional Neural Networks
- Pooling
- Dropout
- Vanilla RNN Implementation
- RNN
- The RNN step
- Sequential outputs
- TensorFlow Built-in RNN Functions
- RNN for Text Sequences
