Free Course Gain A Deep Understanding of Deep Learning – Master Neural Networks, AI, and Machine Learning
Gain A Deep Understanding of Deep Learning – Master Neural Networks, AI, and Machine Learning (Includes Python Introduction)
What you'll learn:
- The theory and math underlying deep learning
- How to build artificial neural networks
- Architectures of feedforward and convolutional networks
- Building models in PyTorch
- The calculus and code of gradient descent
- Fine-tuning deep network models
- Learn Python from scratch (no prior coding experience necessary)
- How and why autoencoders work
- How to use transfer learning
- Improving model performance using regularization
- Optimizing weight initializations
- Understand image convolution using predefined and learned kernels
- Whether deep learning models are understandable or mysterious black-boxes!
- Using GPUs for deep learning (much faster than CPUs!)
Description:
Unlock the power of deep learning in this comprehensive course designed for beginners and professionals alike. With a solid introduction to Python, you'll delve into neural networks, AI, and cutting-edge machine learning techniques. Gain hands-on experience with real-world projects, understand the intricacies of deep learning algorithms, and discover how to apply these skills in various industries. This course ensures you build a strong foundation while preparing you to excel in the dynamic world of AI and data science. Join now and transform your career with expertise in deep learning!
Time Course: 57.5 hours (265 Lectures + Documents)
Instructor: Mike X Cohen
Total Weight: 23.82 GB
