ChannelAI Blog


Beginners Guide to Feature Selection and Categorical Embeddings with Project on Unclean Structured Data

Most of the times, when attempting to visualize and build deep learning models using real-world data, you usually never get a dataset fiiting your requirement closely. In this case, it becomes necessary to...

Mar 4, 2021

Convolutional Neural Networks Vs Recurrent Neural Networks(An Intuitive Guide for every Deep Learning Practitioner)

Have you been feeling frustared about the complexity of deep learning terms like Convolutional Neural networks and Recurrent NNs?. So even if you have found it difficult to assimilate, I want to clear out ...

Oct 14, 2020

9 Key Skills Every Deep Learning Practitioner Should Have (How many in the List do you Have?)

Are there specific skills important in deep learning?. You shouldn't be surprised if you ask yourself this question. At a time or another, all budding deep learner ask themselves the same question. Are you...

Oct 9, 2020

Starting your First Computer Vision Project? Here are 10 Things you Must Absolutely know

Can you imagine navigating through an unknown city without Google Maps?It is usually a tough and tiring ordeal, all paths seems to lead to nothing and at the end you even ask yourself why you took that pat...

Sep 21, 2020

How to make Scalale Predictions with a Deep Learning Model Built with Keras

Buiding Models is exciting, putting them to use can be very brain-tasking. For people who have mastered model deployment, usually this involves just a few tweaks to the code to make it work for a new probl...

Sep 17, 2020

5 Books to Start your Deep Learning Journey in 2020

No doubt, AI is one of the most crucial future technologies which is being harnessed today and transforming our daily lives. A very important branch of Artificial Intelligence "Deep Learning" has arguably ...

Sep 8, 2020

Virtual Reality 10 Years from now _ What would VR look like in 2030?

Virtual Reality is a technology that is relatively new in the industry, there exists some skeptisism about it but if we really use our imagination as is required, what does the future hold for us in VR. Th...

Aug 9, 2020

How to Build an Object Detection Model using Convolutional Neural Networks and Transfer Learning in Keras with Mask RCNN Library.

In this tutorial you would see how to apply state-of-the-art R-CNN architecture model built on the MS Coco dataset for Object Detection on a new Dataset. We use Transfer Learning for efficient and faster t...

Jul 24, 2020

How to treat Overfitting in Convolutional Neural Networks

In this tutorial we would explore a necessary topic in deep learning - overfitting. We would learn what it is ,and how to combact it using known regularization methods like dropouts, batch normalization et...

Jul 11, 2020

How to Build an Image Classification Model and Web App with Tensorflow

The task of helping computers to see, and make a sense or add meaning to what they see is a very hard task. Mainly because it does not just involve one but a series of steps are involved owning to the fact...

Jun 28, 2020

Introduction to Generative Models and GANs - What are GANs?

Using generative models, we first learn the distribution of the training set and then generate some new observations or data points using the learned distribution with some differences.

Jun 22, 2020

Vectorization - How to Vectorize ML Algorithms with MATLAB

Vectorization is the process of converting an algorithm from operating on a single value at a time to operating on a set of values (vector) at once.. In a vectorized calculation, all elements of the vector...

Jun 16, 2020

Introduction to Linear Regression - Creating a Simple Learning Predictor

Linear Regression is a Machine Learning algorithm that is used for predictions of "continuous /non-classified data".You have some datasets in continuous values(because we are doing LinearRegrssion) and you...

May 31, 2020

Introduction to Machine Learning Simplified Version

Machine Learning is a sub-field of Artificial Intelligence. It is the concept that defines the different methods in which a Machine (preferably referred to as model) can learn from real world data and have...

May 17, 2020

How to Build a Multi-Class Classification Model using Convolutional Neural Networks and NasNet Application in Keras

When trying to build a high-brew model in image classification, you can solve the problem using different methods, but just few are efficient ways of doing so. In this tutorial we look at how to build a mi...

Feb 15, 2020