Neural Networks

What is a Perceptron?

Unleash the power of perceptron algorithms. Understand its role in machine learning and pattern recognition. Explore the perceptron’s capabilities!

Prevent overfitting in machine learning models with effective techniques to improve generalization and model performance.

Master machine learning with tensors: foundational data structures for efficient computation and deep learning algorithms.

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.