Explore neural networks to build solutions
Neural networks for classification and regression
Work on computer vision applications
Achieve natural language processing in real-life
Start your journey on the path towards being an AI practitioner.
Neural Networks are all about interconnecting artificial neurons to solve a business problem. It is imitating the human brain which is a natural neural network. As part of this exploration learn about Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and finally Recurrent Neural Networks (RNN). These form part of the neural network systems used to solve real-life problems.
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What Does U Get ?
Explore the neural network concept to understand the difference between natural and artificial neural networks. Check the functional model of the brain.
Learn to identify types of data and work with both structural and unstructured data. Work with images, text, and datasets of various sizes.
Discover libraries that make Python powerful for achieving neural networks. Work with OpenCV, TensorFlow, Keras, and other libraries to implement deep learning.
Get introduced to activation functions used to predict outcomes. Cover popular linear and non-linear functions to solve problems.
Learn about Artificial Neural Networks (ANN) along with the essentials for building your first neural network. Work on classification and regression problems.
Upgrade to Convolutional Neural Networks (CNN) to start working on computer vision applications for problem solving.
Explore Recurrent Neural Networks (RNN) to understand their architecture and applications in the domain of Natural Language Processing (NLP).
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