What are Generative Adversarial Networks (GANs)
Generative Adversarial Networks (GANs) generate data that mimics a given dataset in a min-max game between a generator and discriminator.
Tag: supervised learning
How do Recurrent Neural Networks (RNNs) Work
Recurrent Neural Networks (RNNs) can handle variable-length sequential data, making them ideal for natural language and audio tasks.
About Convolutional Neural Networks (CNN)
Convolutional Neural Networks (CNNs) in machine learning have transformed computer vision by learning spatial features from input data.
Understanding Fully Connected Neural Networks
Fully connected neural networks remain one of the essential building blocks for many of the state of the art systems today.
How to Load Images in Machine Learning Models
TensorFlow makes loading images in machine learning easier and properly handles image data, which leads to better trained models.
How to Load Text into Machine Learning Model
Loading text data into machine learning models made easy with TensorFlow. Convert text data into numerical representations and preprocess it.
Regression in Machine Learning: What is it?
Learn about various regression algorithms and its applications with our comprehensive guide on regression in machine learning
What is Classification in Machine Learning
Unlock the full potential of machine learning with classification, a fundamental task that assigns label to input data based on its features.
Master the Art of Semi Supervised Learning
Discover the power of semi-supervised learning: a technique that improves accuracy and performance while using less labeled data.
Discover the Power of Supervised Learning
Supervised learning is a type of machine learning where a model is trained on labeled data to make predictions.
Discover the Different Types of Machine Learning
There are four main types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement.
How To Make A Simple Classification Model
Here's a guide to making a simple binary classification model using tensorflow library and Kaggle API to retrieve a titanic dataset.