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Classroom Contents
Dive into Deep Learning with Scala
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- 1 Intro
- 2 Electricity
- 3 Deep Learning
- 4 Getting Started
- 5 Theres no free lunch
- 6 Deep Learning in 3 Steps
- 7 What is Deep Learning
- 8 Artificial Neural Networks
- 9 Computer Vision
- 10 Speech Recognition
- 11 Machine Translation
- 12 What do these examples have in common
- 13 Overlaying the examples
- 14 Generic functions
- 15 Models
- 16 Classifiers
- 17 Tensors
- 18 Tensor Models
- 19 Artificial Neuron
- 20 Architecture
- 21 Machine Learning
- 22 Training Data Examples
- 23 How Does Training Work
- 24 First Step
- 25 Forward Pass
- 26 BackPropagation
- 27 Gradient Descent
- 28 Why Deep Learning Works
- 29 Composition
- 30 Narrow Intelligence
- 31 Conclusion
- 32 Why Scala
- 33 Type Safety
- 34 What features should a deep learning library provide
- 35 Three deep learning libraries
- 36 Example code
- 37 Business problem
- 38 Look for Existing Solutions
- 39 Supervised Learning
- 40 Data Source
- 41 Architectures
- 42 Convolutional
- 43 Neural Network
- 44 Model Building
- 45 Training
- 46 Training with more neurons
- 47 convolutional layer
- 48 network classifier
- 49 run model
- 50 deployment
- 51 main takeaways
