Deep Learning

Curated By

Avatar of abhinavk001

What is Deep Learning?

Deep Learning is a subset of Machine Learning which utilizes artificial neural networks to learn. Deep learning is loosely based on the way biological neurons connect with one another to process information in the brains of animals.It uses neural networks with three or more layers to implement this. These neural networks attempt to simulate the behavior of the human brain, allowing it to learn from large amounts of data.

Deep Learning has produced notable improvements in accuracy and performance in applications such as computer vision, natural language processing, face recognition, object recognition and speech recognition.

Deep Learning is extensively used in self-driving cars, virtual assistants, fraud news detection, cancer detection and many more.


  • Python programming
  • Algebra- Linear algebra and matrix calculation.
  • Basic machine learning- Basic algorithms and libraries such as numpy, pandas and matplotlib.


  • Neural Networks
  • Hyperparameter tuning and Regularization.
  • Convolutional Networks
  • Recurrent Networks
  • Frameworks- Tensorflow\Pytorch
  • Autoencoders
  • Generative Models
  • Probabilistic Models

If you are confused about which framework to use (which is very common among new learners) check this out. After you are comfortable with frameworks and able to build some simple projects, try reading some research papers.

Additionally you can spend some time brushing up Calculus, statistics and probability as it is used a lot in deep learning.


Youtube tutorials


Being familiar with any one of the apps can be really helpful in your Deep Learning journey.