Deep Learning

Coursera MOOC / Non-credit USD 49
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Deep Learning

About this course

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. AI is transforming many industries. The Deep Learning Specialization provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career. Along the way, you will also get career advice from deep learning experts from industry and academia.

What you'll learn

  • understand the fundamentals of deep learning
  • build and train neural networks
  • apply deep learning to real-world problems
  • improve model performance using techniques like Dropout and BatchNorm

Course objectives

  • provide foundational knowledge in deep learning
  • prepare students for careers in AI technology
  • guide students in building and refining neural network models

Skills you'll gain

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