Private Training:
Neural Networks and Deep Learning

We help businesses achieve more using Machine Learning and Data Science. Leverage the practical expertise of expert instructors to accelerate your projects.

Machine Learning is a rapidly growing field with Deep Learning as its bleeding edge. Using neural networks under the hood, deep learning is successfully applied in various fields from computer vision to text processing.
This course provides a comprehensive overview of commonly used architectures of neural networks and their applications to common tasks, from tabular data processing to image recognition and data generation tasks. In addition, this course is designed to describe core principles of machine learning to support neural network's theory. During hands-on labs, you will learn to build and architect neural networks to solve a variety of tasks.
Hands-on
Hands-on

Each theoretical block is followed by a relevant set of practical labs

Instructor-led
Instructor-led

You'll be guided by an experienced instructor during all training days

On-site
On-site

The training is delivered at your premises and on suitable dates

Hands-On Training Course: Neural Networks and Deep Learning

Enhance your data science expertize with representation learning
Core Concepts and Techniques
Theory
  • An introduction to machine learning tasks and definitions
  • Core principles of building machine learning algorithms
  • A diversity of machine learning algorithms: from linear regression to random forest
  • Core Python packages for machine learning
Practice
  • Linear and logistic regressions
  • k-nearest neighbors and k-means
  • Decision trees and random forest
  • Core Python packages for machine learning
Packages of choice are Pandas/NumPy/scikit-learn
Introduction to Deep Learning
We'll look at surprisingly strong machine learning techniques that have recently gained popularity and cover the following topics:
  • The structure of neural and feedforward neural networks
  • A mechanism for learning neural networks
  • The means of managing the neural network learning process
Convolutional Neural Networks
Convolution as the core of the neural network layer for spatial data processing. Topics for the day:
  • Image features and representation learning
  • A convolution layer and a deep convolutional network
  • Supporting layers for convolutional neural networks
  • State-of-the-art architectures for image processing
  • Transfer learning and fine tuning
Recurrent Neural Networks
Neural network architecture for sequential data modelling. Topics for the day:
  • Examples of sequential data and related machine learning tasks
  • The vanilla recurrent neural network architecture and its limitations
  • The architecture of advanced recurrent neural network layers
Autoencoders and Generative Networks
Neural network architectures developed to solve non-standard machine learning tasks. Topics for the day:
  • Autoencoder architecture blueprint
  • Properties of autoencoder representations
  • Generative Adversarial Networks

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What Attendees Say

Here's what attendees say about our events
Deep Learning for Advanced Analytics
ML-01
ML-03
DL-01
DL-02
DL-03
Great experience. Very knowledgeable and friendly trainers. Practical examples/issues the trainers provided based on their experience.
Ramesh Balasubramanian, Machine and Deep Learning training in San Diego
Neural Networks and Deep Learning
ML-01
DL-01
DL-02
DL-03
DL-04
Combination of conceptual and practical contents. Also, shared personal experiences and views were particularly valuable.
Arpad Rozsas, Neural Networks and Deep Learning course in Madrid
Modern Applications of Machine Learning
ML-01
DL-01
Workshop
I enjoyed the class and learned a lot even though there was so much content jammed into a very small time. The most enjoyable was deep neural nets and seeing some of the largest example. The most valuable thing professionally will probably be the classification clustering that I have learned K-NN probably
Mark, Machine Learning training in Washington DC

Contact us

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Alexandra Mironova

Alexandra Mironova

Training Coordinator

Headquarters

location icon830 Stewart Dr., Suite 119Sunnyvale, CA 94085
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