## 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.

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