Graph Generation for Drug Discovery using Python and Keras
Python-based Graph Generation for Molecular Structures using Keras: A Practical Introduction to Neural Network Modeling
4.12 (29 reviews)
254
students
1.5 hours
content
Oct 2023
last update
$44.99
regular price
What you will learn
Understand the basics of graph generation and its applications in various fields.
Learn how to manipulate molecular structures using the RDKit library in Python.
Gain proficiency in preprocessing chemical data stored in CSV files.
Develop an understanding of mapping atom symbols and bond types to numerical representations.
Learn to convert SMILES strings into graph representations.
Understand the concepts of Generative Adversarial Networks (GANs) and their application in graph generation.
Implement a Graph Generator using TensorFlow and Keras to generate molecular graphs.
Create a Discriminator model to evaluate the quality of generated graphs.
Learn about the Wasserstein GAN framework for improved GAN training stability.
Gain hands-on experience in training and fine-tuning GAN models for graph generation tasks.
Understand the importance of GPU acceleration and how to configure it for faster computations.
Develop the ability to save and load model weights for future use.
Gain proficiency in generating molecular graphs using the trained GAN model.
Learn to visualize and analyze the generated molecular structures.
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5468094
udemy ID
27/07/2023
course created date
18/10/2023
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