#### AIQC: Framework for Reproducible and Rapid Deep Learning

AIQC simplifies data preparation and parameter tuning for batches of deep learning models without an expensive cloud backend. It empowers researchers by reducing the programming and data science know-how required to integrate machine learning into their research. It makes machine learning less of a black box by reproducibly recording experiments in a file-based database that […]

Read More#### Deep Networks Are Kernel Machines

- Frank
- February 18, 2021
- AI
- artificial intelligence
- Arxiv
- data representations
- Deep Learning
- deep neural networks
- explained
- kernel machines
- kernel trick
- learning theory
- Linear Regression
- Machine Learning
- machine learning theory
- math proof
- nearest neighbor
- Neural Networks
- neural networks gradient descent
- Paper
- pedro domingos
- proof
- representation learning
- representations
- representer theorem
- SGD
- stochastic gradient descent
- Support Vector Machine
- SVM
- what is deep learning

Yannic Kilcher explains the paper “Every Model Learned by Gradient Descent Is Approximately a Kernel Machine.” Deep Neural Networks are often said to discover useful representations of the data. However, this paper challenges this prevailing view and suggest that rather than representing the data, deep neural networks store superpositions of the training data in their […]

Read More#### Tagging Audio using Deep Learning

Andreas Vrålstad chats with Seth Juarez about how you can use deep learning for audio. We’ll explain how we can use sounds, convert them into images and build a classifier model to tag songs according to mood.

Read More#### Transfer Learning in Deep Learning

Transfer Learning is a powerful and an increasingly common technique for training deep learning models quickly with a minimal training set. To understand the basic notion of Transfer Learning, consider a model X is successfully trained to perform task A with model M1. If the size of the dataset for task B is too small […]

Read More#### Practical Deep Learning for Coders – the 11 Hours Full Course

freeCodeCamp.org has made the Practical Deep Learning for Coders is a course from fast.ai available . This course was created to make deep learning accessible to as many people as possible. The only prerequisite for this course is that you know how to code (a year of experience is enough), preferably in Python, and that […]

Read More#### What is Deep Learning? A Simple Guide with Examples

- Frank
- October 15, 2020
- AI
- Deep Learning

Here’s a great overview of deep learning, an artificial intelligence function that imitates the working of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural network (ANN). It […]

Read More#### Creating a Deep Neural Network in ML.NET – Microsoft.ML.Vision Update

Jon Wood shows us how to create a deep neural network in ML.NET to classify images of flowers. This is an update to the original deep neural network video that classified sushi vs. sandwich images.

Read More#### 10 Best Online and Free Deep Learning Courses

If you want to learn deep learning and don’t know where to start, here’s a list of free online courses that can help you learn deep learning. Read more www.analyticsinsight.net

Read More#### Deep Learning for Coders (Lesson 1)

Jeremy Howard provides this introductory lesson on Deep Learning for Coders. In this first lesson, we learn about what deep learning is, and how it’s connected to machine learning, and regular computer programming. We get our GPU-powered deep learning server set up, and use it to train models across vision, NLP, tabular data, and collaborative […]

Read More#### Top 10 Deep Learning Libraries for Beginners

Here’s a great round up for the top 10 deep learning libraries for beginners to learn and how they fit into the larger picture of AI. Read more www.techiexpert.com

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