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