This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Pattern Recognition and Machine Learning, Christopher Bishop Deep Learning: Methods and Applications, Deng and Yu Wikipedia is often a useful resource. In the second half of the course, we’ll discuss ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...

Module 4: Neural Networks and Deep Learning ... Module 5: Convolutional Neural Networks and Deep Learning Advanced Tools ... Module 6: Final Exam ... Note: This page is periodically updated. Course ...

Artificial Neural Networks: Learning by Doing Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

This overview paper presents a brief introduction to the multi-level (deep) hierarchical DSTM (H-DSTM) framework, and deep models in machine learning, culminating with the deep neural DSTM (DN-DSTM).

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the ...

A brief history of AI, machine learning, artificial neural networks, and deep learning.