Completed
Tensor Models
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Dive into Deep Learning with Scala
Automatically move to the next video in the Classroom when playback concludes
- 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
