Creative Machine Learning - Draw and Paint with 3 Neural Network Projects

Dive into the fascinating world of machine learning and neural networks with this comprehensive course. Starting from foundational concepts like machine learning, deep learning, neural networks, and unsupervised learning, you'll explore the various types of machine learning models and how they learn. Gain hands-on experience by building, visualizing, and training datasets for real-world applications.

Discover the intricacies of generative and convolutional neural networks, from constructing layers like Dense, Batch Normalization, and Leaky ReLU to advanced techniques like Transposed Convolution and TanH Activation Functions. Learn to create a generator, discriminator, and optimize performance using tools like the Adam Optimizer.

The course culminates in an exciting style transfer project, where you'll use machine learning to blend artistic styles into images. With practical exercises, you'll build and train neural networks, visualize results, and master cutting-edge AI techniques, empowering you to create impactful and innovative projects.