Description:
Deep learning is a powerful subset of machine learning that is widely used in areas such as robotics, natural language processing (NLP), image recognition, and artificial intelligence (AI). The
Deep Learning with Python course is designed for individuals with at least a year of coding experience and a basic understanding of mathematics.
With this training, you will develop practical skills in deep learning using Python, enabling you to solve real-time problems and build robust models for various applications.
What You Will Learn:
By the end of this course, you will:
- Understand the fundamentals of deep learning techniques
- Learn about artificial neural networks (ANNs) and their architecture
- Build and train deep neural networks from scratch
- Gain expertise in Convolutional Neural Networks (CNNs)
- Learn how to construct your own CNNs
- Explore different optimization techniques for tuning the learning of any neural network
- Get pointers to the next frontiers in CNNs and deep learning
Pre-requisites:
- Basic Python programming skills
- Basic knowledge of mathematics
- Understanding of machine learning fundamentals
Who Should Attend:
This training is ideal for:
- Students interested in machine learning
- Professionals aiming to utilize neural networks in their machine learning and data science projects
- Individuals with coding knowledge in Python who want to dive deeper into deep learning
Prepare for Certification:
Our training and certification program provides a comprehensive understanding of key topics in deep learning with Python. The certification not only boosts your career prospects but also validates your ability to produce reliable, high-quality results with increased efficiency and consistency.
