Hands-On Deep Learning with PyTorch: A Beginner's Course

"Hands-On Deep Learning with PyTorch." Whether you're new to neural networks or looking to expand your skills, this course will provide you with a hands-on approach to training neural networks from scratch.

Our comprehensive curriculum covers all the essential components of deep learning, including neural networks, loss functions, optimizers, datasets, and data loaders. You'll also learn how to leverage the GPU for accelerated training and gain practical insights into building and training basic neural networks using PyTorch.

What sets this course apart is its accessibility. You don't need any previous knowledge of neural networks or PyTorch. All you need is a basic understanding of Python, and we'll guide you through the rest.

By the end of the course, you'll have gained the skills to confidently train basic neural networks using PyTorch. Unlock your potential in deep learning and embark on this exciting journey today. Enroll now and start building your expertise in the world of artificial intelligence.

Content of the Course:

• Datasets
• Data Loaders.
• Image Augmentation
• Loss Functions
• Optimizers.
• Activation Functions.
• Normalization Techniques.
• Convolutional Neural Networks (CNN).
• Training Neural Networks.
• GPU Acceleration.

Requirements:

• The only requirement is basic knowledge of Python.
• No experience on Deep learning required.
• No experience on PyTorch required.