Learn how to create deep neural networks to solve challenging problems.
Learning Notes - Introduction to TensorFlow 2.0
What I understood from Laurence Moroney's nice introductory course on TensorFlow 2.0 for Artificial Intelligence, Machine Learning and Deep Learning
Creating Intelligent Music Applications in the Browser
In this blog post, we will learn and understand Google's TensorFlow.js and Magenta.js, and explore ways to create AI music applications in the browser.
Recognizing Digits using TensorFlow.js in Google Chrome
Learn how to recognize handwritten digits based on user's drawing in Google Chrome using a Deep Neural Network (Convolutional Neural Network and Multi-Layer Perceptron)
Classifying images using Keras MobileNet and TensorFlow.js in Google Chrome
Learn how to perform image classification (recognition) using Keras MobileNet and TensorFlow.js.
Using Keras Pre-trained Deep Learning models for your own dataset
Learn how to use state-of-the-art Deep Learning neural network architectures trained on ImageNet such as VGG16, VGG19, Inception-V3, Xception, ResNet50 for your own dataset with/without GPU acceleration.
Handwritten Digit Recognition using Deep Learning, Keras and Python
Learn how to recognize handwritten digit using a Deep Neural Network called Multi-layer Perceptron (MLP).
6 Steps to Create Your First Deep Neural Network using Keras and Python
Learn how to create your first Deep Neural Network in few lines of code using Keras and Python