Neural network, Pattern recognition, Unsupervised learning, Backpropagation, Supervised learning, Machine learning
A Short Chronology Of Deep Learning For Tabular Data
Occasionally, I share research papers proposing new deep learning approaches for tabular data on social media, which is typically an excellent discussion sta...
A Short Chronology Of Deep Learning For Tabular Data
Occasionally, I share research papers proposing new deep learning approaches for tabular data on social media, which is typically an excellent discussion sta...
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A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers
These deep learning interview questions will help you navigate through your next interview. This article contains a list of popular deep learning questions.
What Is Deep Learning?
Deep learning is one of the most influential and fastest growing fields in artificial intelligence. However, getting an intuitive understanding of deep learning can be difficult because the ...
A Comprehensive Guide to Representation Learning for Beginners
Representation learning is a very important aspect of machine learning which automatically discovers the feature patterns in the data. When the machine is provided with the data, it learns ...
Basic concepts of neural networks
After presenting in two previous post (post 1, post 2) the factors that have contributed to unleashing the potential of Artificial…
Machine Learning for dummies 101
Can you explain to me how a neural network works?
The Scuffle Between Two Algorithms -Neural Network vs. Support Vector Machine
Deep learning (DL) has become a common word in any analytic or business intelligence project discussions. It belongs to a broader…
A Brief History of Neural Nets and Deep Learning
The story of how neural nets evolved from the earliest days of AI to now.
![[D] Jurgen Schmidhuber on Alexey Ivakhnenko, godfather of deep learning 1965](https://external-preview.redd.it/zRI8i-EJRWhSvR2Lo4AYmDNPOu9QKARswvNJOqr-JXg.jpg?auto=webp&s=4fbe16c2b2c6746c1c25a2a6bd0d9667aed2ce44)
[D] Jurgen Schmidhuber on Alexey Ivakhnenko, godfather of deep learning 1965
43 votes and 2 comments so far on Reddit
Another 10 Free Must-See Courses for Machine Learning and Data Science
This collection comes courtesy of Delta Analytics, author and trainer Aurélien Geron, University of Wisconsin–Madison, AI researcher Goku Mohandas, University of Waterloo, National ...
What are neural networks?
Learn about neural networks that allow programs to recognize patterns and solve common problems in artificial intelligence, machine learning and deep learning.
The Journey of AI & Machine Learning
Imtiaz Adam, Twitter @Deeplearn007 Updated a few sections in Sep 2020 Artificial Intelligence (AI) is increasingly affecting the world around us. It is increasingly making an impact in ...
Deep Learning in NLP
natural language processing, nlp, machine learning, computer science
Artificial Intelligence and Deep Learning For the Extremely Confused
The watershed moment in Deep Learning is typically cited as 2012’s AlexNet, by Alex Krizhevsky and Geoffrey Hinton, a state of the art GPU accelerated Deep Learning network that won that ...
A Brief History of Machine Learning
Machine Learning (ML) is an important aspect of modern business and research. It uses algorithms and neural network models to assist computer systems in progressively improving their ...