Deep Learning

This professional Deep Learning program takes learners through Neural Network Mathematics, PyTorch Tensors, Optimization and Backpropagation, CNN Architectures, Sequence Models, Transfer Learning, Training at Scale, Deep Learning Project. Target audience: ML practitioners ready to train and evaluate deep neural networks.

Jane Instructor8 chapters42 hoursCertificate included

What you'll learn

Apply neural network mathematics to a practical Deep Learning project.

Apply pytorch tensors to a practical Deep Learning project.

Apply optimization and backpropagation to a practical Deep Learning project.

Apply cnn architectures to a practical Deep Learning project.

Apply sequence models to a practical Deep Learning project.

Apply transfer learning to a practical Deep Learning project.

Skills covered

PyTorch

Neural Networks

CNNs

RNNs

Optimization

GPU Training

Prerequisites

Python, linear algebra, and machine learning

Who this is for

ML practitioners ready to train and evaluate deep neural networks.

Course modules

1Neural Network MathematicsFree preview

2PyTorch TensorsFree preview

3Optimization and Backpropagation

4CNN Architectures

5Sequence Models

6Transfer Learning

7Training at Scale

8Deep Learning Project

Assessments and certification

Deep Learning Practice Quiz

8 questions · 20 min · Pass mark 70%

Quiz

Deep Learning Certification Exam

8 questions · 60 min · Pass mark 70%

Final exam

Earn your AMNEXT ACADEMY certificate

Complete the course and pass its certification assessment to receive a verifiable certificate.