Free neural network training: courses and resources for image generation

Training generative neural networks opens up access to creating images that can be used in art, design, game development, and even scientific research. Here is a selection of courses and guides that will help you dive into this field.

Published 2 min read

Practical Deep Learning for Coders by fast.ai and Jeremy Howard
This course offers a practical introduction to deep learning. The lessons cover the basics of building models for image generation, such as GANs and transformers. The instructors use the PyTorch framework, making the learning process convenient.

Duration: 8 lessons

Learning Generative Adversarial Networks by DeepLearning.AI
In this course, you will learn to understand the components of GANs and create basic generative networks using PyTorch. Then, you will move on to more complex models, such as DCGAN, using convolutional layers, and master managing your GAN and developing conditional GANs, creating Pix2Pix and CycleGAN to transform images from one type to another.

Duration: 2 months

Deep Generative Specialization by DeepLearning.AI
The program will help you understand the fundamentals and prospects of deep learning and prepare you to develop advanced technologies. Using Python and TensorFlow, you will be able to solve real-world problems: from speech recognition and machine translation to generating images.

Duration: 3 months

Deep Generative Modeling by MIT
This course will help you understand the basics of working with generative models. You will learn the difference between supervised and unsupervised learning, and find out about the goals and capabilities of generative models.

Duration: 22 lessons

Neural Network Development in Python by selfedu
The course is a practical guide to learning the basics of neural networks. Participants will become familiar with deep learning concepts, master Python tools such as TensorFlow and PyTorch, and learn to implement neural networks for classification, regression, and image processing tasks.

Duration: 33 lessons

Introductory Course on StyleGAN2 by classcentral
The course provides a detailed look at the principles of StyleGAN, one of the most popular GAN architectures. The course covers the basics of StyleGAN, explains its unique features, such as style control and high-quality image generation, and demonstrates how to apply this model in practice. The course is suitable for both beginners and more experienced users interested in image generation using neural networks.

Duration: 14 lessons

Deep Learning with PyTorch, Keras and Tensorflow by IBM
The course includes the development, training, and deployment of deep learning models with Python, working with transformers and time series. You will master Keras, PyTorch, and TensorFlow for image processing, text, and object recognition. Practice includes creating custom layers, complex CNNs, and a final project on image classifier analysis.

Duration: 4 months