How to Create Deep Learning Algorithms in Python

How to Create Deep Learning Algorithms in Python (view)- Deep learning is the branch of machine learning where artificial neural networks, algorithms inspired by the human brain, learn by large amounts of data. As we learn from experiences,similarly the deep learning algorithm perform a task repeatedly. Deep learning refer because the neural networks have various (deep) layers that enable learning. Necessity of thought is required to overcome any problem, similarly there are many layers in neural networks which enable learning.

If you really want to learn from this course, you just have knowledge of high school mathematics and basic Python programming knowledge.

In this, you will learn the topics :

• Understand the intuition behind Artificial Neural Networks and Convolutional Neural Networks
• How to apply Artificial Neural Networks and Convolutional Neural Networks in practice
• Understand the intuition behind Recurrent Neural Networks and Self-Organizing Maps
• How to apply Recurrent Neural Networks and Boltzmann Machines work in practice
• Understand the intuition behind Boltzmann Machines and AutoEncoders

   This course has total 185 lectures and it’s lecture divided into 6 parts :-

1. Artificial Neural Networks 
2. Convolutional Neural Networks
3. Recurrent Neural Networks
4. Self-Organizing Maps
5. Boltzmann Machines
6. AutoEncoders

There are Supervised and Unsupervised Deep Learning. Check below :-

In Artificial Neural Networks Intuition