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Deep Learning (in Machine Learning) References
- Deep Learning
- Deep learning and application in cancer detection
- Deep learning in a nutshell
- Top 15 Deep Learning applications that will rule the world in 2018 and beyond
- Delve into ReLU
- The ABCs of Approximate Bayes Computation
- Convolutional Recurrent Neural Networks For Music Classification.
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Deep Learning Algorithms
Rules-Based Systems vs. Classic Machine Learning vs. Representation Learning vs. Deep Learning
Deep Learning vs. Reinforcement Learning
“Why is deep learning taking off?”
The learning circle of the neural network
Research Ideas for Deep Learning
Troubleshooting a deep learning model
Applications of neural networks in supervised learning
Formulating the dataset in a Deep Learning Problem
Deep vs. Shallow Neural Networks
Deep learning core concepts
When do we need Deep Learning?
Machine Learning vs Deep Learning
How to solve the overfitting problems in deep learning
Top 15 deep learning applications
Deep Learning History
Deep Learning (in Machine Learning) References
Challenges Motivating Deep Learning
DeepFake
Attention is all you Need (Presentation)
Explaining Complex Concepts with Simple Examples
A machine learning system is being designed to identify different species of birds in photographs. The model first learns to recognize basic elements like lines, curves, and color gradients. In subsequent stages, it combines these basic elements to identify more complex components like feathers, beaks, and eyes. Finally, it uses the arrangement of these components to classify the bird species. Which statement best analyzes the fundamental principle that gives this approach its power?
Choosing the Right Machine Learning Approach
A machine learning model is tasked with identifying a cat in an image. Arrange the following stages of representation in the order they would likely be learned by a system that builds complex concepts from simpler ones, starting from the most basic input.
End-to-End Training
Learn After
Deep Learning
Deep learning and application in cancer detection
Deep learning in a nutshell
Top 15 Deep Learning applications that will rule the world in 2018 and beyond
Delve into ReLU
The ABCs of Approximate Bayesian Computation
CONVOLUTIONAL RECURRENT NEURAL NETWORKS FOR MUSIC CLASSIFICATION
Multi-Task Learning in Deep Neural Networks
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Deep Learning Based Text Classification: A Comprehensive Review
Deep Learning on Graphs: A Survey
Dynamic Neural Networks: A Survey
A Survey on Data Augmentation for Text Classification
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Knowledge Distillation: A Survey
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation