Cuesys Infotech :: Consulting | Corporate Training

The Deep Learning with Python training course takes you from basic calculus knowledge to its application in Python for training neural networks for deep learning. Through the course, we will cover thorough training in convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into our product offerings such as search, image recognition, and object processing. Also, we will examine the performance of the sentimental analysis model and will conclude with the introduction of the popular Python framework, TensorFlow. By the end of this course, you can start working with deep learning right away. This course will make you confident about its implementation in your current work as well as further research.

By attending Deep Learning with Python Workshop, delegates will learn:

Quick introduction to the deep learning algorithms and techniques
Understand the strategies to use deep learning algorithms and libraries in the real world
Explore popular Python packages such as TensorFlow, Caffe, and Keras
Implement autoencoders and Restricted Boltzmann Machines
Dive into Deep Belief Nets and Deep Neural Networks
Discover more deep learning algorithms with Dropout and Convolutional Neural Networks

Data Science practitioners as well as machine learning practitioners who aspire to get a fundamental understanding of deep learning will find this course to be useful. Knowledge of Python programming is required.

deep learning with python

COURSE AGENDA

Deep Learning fundamentals

Introduction to Neural Networks

Setting up the deep learning environment

Building recommender systems

Applying Deep learning for image processing, games, and speech recognition

Building a production ready scalable distributed system

Advanced deep learning techniques