Free Course Gain A Deep Understanding of Deep Learning – Master Neural Networks, AI, and Machine Learning

  

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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