Deep Learning
Learn how to create deep neural networks to solve challenging problems.
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Creating Intelligent Music Applications in the Browser
Let's learn and understand Google's TensorFlow.js and Magenta.js to create AI music applications in the browser.
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Deep Learning meets Music
Let's understand how to create music using Deep Learning and Machine Learning algorithms.
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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)
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Classifying images using Keras MobileNet and TensorFlow.js in Google Chrome
Learn how to perform image classification (recognition) using Keras MobileNet and TensorFlow.js.
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Logistic Regression with a Neural Network mindset using NumPy and Python
Build a binary classifier logistic regression model with a neural network mindset using numpy and python.
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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.
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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).
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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