Completed
) Supervised Learning
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Deep Learning Crash Course for Beginners
Automatically move to the next video in the Classroom when playback concludes
- 1 ) Introduction
- 2 ) What is Deep Learning
- 3 ) Introduction to Neural Networks
- 4 ) How do Neural Networks LEARN?
- 5 ) Core terminologies used in Deep Learning
- 6 ) Activation Functions
- 7 ) Loss Functions
- 8 ) Optimizers
- 9 ) Parameters vs Hyperparameters
- 10 ) Epochs, Batches & Iterations
- 11 ) Conclusion to Terminologies
- 12 ) Introduction to Learning
- 13 ) Supervised Learning
- 14 ) Unsupervised Learning
- 15 ) Reinforcement Learning
- 16 ) Regularization
- 17 ) Introduction to Neural Network Architectures
- 18 ) Fully-Connected Feedforward Neural Nets
- 19 ) Recurrent Neural Nets
- 20 ) Convolutional Neural Nets
- 21 ) Introduction to the 5 Steps to EVERY Deep Learning Model
- 22 ) 1. Gathering Data
- 23 ) 2. Preprocessing the Data
- 24 ) 3. Training your Model
- 25 ) 4. Evaluating your Model
- 26 ) 5. Optimizing your Model's Accuracy
- 27 ) Conclusion to the Course
