[unable to retrieve full-text content]This post includes 5 specific video-based options for furthering your understanding of neural networks and deep learning, collectively consisting of many, many hours of insights.
Original Post: 5 Free Resources for Furthering Your Understanding of Deep Learning
[unable to retrieve full-text content]What is an artificial neural network? How does it work? What types of artificial neural networks exist? How are different types of artificial neural networks used in natural language processing? We will discuss all these questions in the following article.
Original Post: 7 Types of Artificial Neural Networks for Natural Language Processing
[unable to retrieve full-text content]After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera (which is not completely released) and Udacity, I believe a post about what you can expect from these 3 courses will be useful for future Deep learning enthusiasts.
Original Post: An Overview of 3 Popular Courses on Deep Learning
[unable to retrieve full-text content]The relevance of a full stack developer will not be enough in the changing scenario of things. In the next two years, full stack will not be full stack without AI skills.
Original Post: How I started with learning AI in the last 2 months
[unable to retrieve full-text content]By the end of this post, we will hopefully have gained an understanding of how deep learning is applied to object detection, and how these object detection models both inspire and diverge from one another.
Original Post: Deep Learning for Object Detection: A Comprehensive Review
[unable to retrieve full-text content]Looking at the strengths of a neural network, especially a recurrent neural network, I came up with the idea of predicting the exchange rate between the USD and the INR.
Original Post: A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)
[unable to retrieve full-text content]At the end of this post, you’ll be able to implement a neural network to identify handwritten digits using the MNIST dataset and have a rough time idea about how to build your own neural networks.
Original Post: Neural Networks: Innumerable Architectures, One Fundamental Idea
[unable to retrieve full-text content]Machine learning algorithms aren’t difficult to grasp if you understand the basic concepts. Here, SAS data scientist describes the foundations for some of today’s popular algorithms.
Original Post: Understanding Machine Learning Algorithms
[unable to retrieve full-text content]Highlights and key takeaways from day 2 of AI Conference San Francisco 2017, including current state review, future trends, and top recommendations for AI initiatives.
Original Post: Key Takeaways from AI Conference in San Francisco 2017 – Day 2
[unable to retrieve full-text content]Keras is a Python deep learning library for Theano and TensorFlow. The package is easy to use and powerful, as it provides users with a high-level neural networks API to develop and evaluate deep learning models. With this library, you’ll be making neural network models in no time!
Original Post: Keras Cheat Sheet: Deep Learning in Python