Deep Learning

Deep learning is a subset of machine learning using multi-layered artificial neural networks (often 4+ layers) to simulate human brain function for processing unstructured data. It powers advanced AI like Generative AI (ChatGPT), computer vision, and autonomous driving by automatically identifying complex patterns, unlike traditional algorithms.

RInstructor: Rav Ahuja

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IntermediateRecommended experience

4 months at 10 hours per weekto complete

Flexible ScheduleLearn at your own pace

What you'll learn

Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications.

Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow.

Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data.

Skills you'll gain

Applied Machine LearningArtificial IntelligenceEmbeddingsImage Analysis

Outcomes

Prepare for a career as a Machine Learning Engineer

Learn in-demand skills from university and industry experts

Master a subject or tool with hands-on projects

Develop a deep understanding of key concepts

Earn a career certificate from Deep Learning. AI

Courses

Specialization - 5 course series

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.

Rav Ahuja

Global Program Director & IBM Skills Network

Instructor

Rav Ahuja is perhaps the most recognizable name from IBM on Coursera. He is the primary architect behind the massive IBM Data Science Professional Certificate and the IBM Applied AI Professional Certificate.

Pricing

Subscribe now to get full access to all course materials, assignments, and certificates, the cost is 80$.