What you will learn in this course
- Learn the foundations of Deep Learning
- How to build neural networks
- Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more
- Understand the major technology trends driving Deep Learning
- How to implement efficient (vectorized) neural networks
- Understand the key parameters in a neural network’s architecture
- How Deep Learning actually works
- Learn TensorFlow
- Implement and apply a variety of optimization algorithms
- Learn how to build a successful machine learning project
- Understand how to diagnose errors in a machine learning system
- Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance
- Understand how to build a convolutional neural network
- How to apply convolutional networks to visual detection and recognition tasks
- How to build models for natural language, audio, and other sequence data
- How to build and train Recurrent Neural Networks (RNNs)
Course will help you master Deep Learning, understand how to apply it, and build a career in AI.
How to Enroll Deep Learning Specialization course?
How many members can access this course with a coupon?
Deep Learning Specialization Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!
