A deep understanding of deep learning (with Python intro)

Course Name : A deep understanding of deep learning (with Python intro)
Students : 36,402
Duration : 57.5 hours
Avg Rating : 4.8 (4,406 ratings)
Original Price : $119.99
Discount Price : $12
Instructor / Provider : Mike X Cohen, Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code

You’ll Learn How to:

• Deep Learning Foundations: Master the theory and math underpinning deep learning models.
• Neural Network Architectures: Understand and build feedforward and convolutional neural networks (CNNs).
• Practical Model Building: Learn how to create deep learning models using PyTorch, from basics to advanced applications.
• Gradient Descent: Dive into the calculus and code behind gradient descent optimization.
• Fine-Tuning Models: Learn techniques to enhance the performance of deep networks.
• Autoencoders: Understand the purpose, theory, and practical application of autoencoders in deep learning.
• Transfer Learning: Leverage pre-trained models to solve new tasks effectively.
• Regularization Techniques: Optimize models by improving generalization and reducing overfitting.
• Weight Initialization: Master strategies for setting up optimal weight initializations.
• Image Convolution: Learn the concept of image convolution using both predefined and learned kernels.
• Explainability of Models: Explore whether deep learning models are understandable or truly black-box systems.
• Using GPUs: Learn to utilize GPUs for faster model training and computations.

Theory, Math, and Implementation

• Why Deep Learning Works: Understand why specific architectures and techniques are used in model development.
• Math Behind Models: Study the formulas and mechanisms that power deep learning.
• Python Implementation: Gain hands-on skills to construct deep learning models using Python and PyTorch.

FAQs on Udemy Coupon