TensorFlow: A Comprehensive Guide for Data Scientists
Explanation of TensorFlow including components and a comparison with PyTorch.
Neural Networks
What is a Generative Adversarial Network?
Simple explanation of how Generative Adversarial Networks work including examples.
Explainable AI: Integrated Gradients
Functionality of the Integrated Gradient explained using the example of a sentiment analysis.
What are Recurrent Neural Networks?
Explanation of Recurrent Neural Networks, including definition, applications, types, and problems.
Sentiment Analysis with BERT and TensorFlow
Using BERT Embedding for text classification of IMDb movie ratings.
Convolutional Neural Network in TensorFlow with CIFAR10 images
Create a Convolutional Neural Network in Python with Tensorflow.
Understanding the Backpropagation Algorithm
Introduction to the backpropagation algorithm with explanation of the gradient method and error backpropagation.
What are Convolutional Neural Networks (CNN)?
Learn how Convolutional Neural Networks use three-dimensional data for image classification and object recognition.
What are Artificial Neural Networks?
Artificial neural networks simply explained, including building blocks, layer types, and examples.
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