Computer Vision with Neural Nets

Build ML Pipelines with Cutting-Edge Computer Vision Functionalities

This training will take you through the machine learning phases of a Big Data project. You’ll explore how data gathering, analysis, visualization, and augmentation work, before progressing on to model implementation, training, and evaluation. The practical sessions leverage industry-standard tools for implementing deep neural networks: TensorFlow (Keras) and other supporting languages and libraries: Python, NumPy, pandas, etc. Data engineers and data scientists who understand machine learning concepts will have the chance to expand their domain expertise into computer vision. At the same time, business leaders can explore future application possibilities for neural networks.

Put Your Data to Use with Robust ML Models

Implement Machine Learning Workflows

Explore what goes into a real-world machine learning project from ideation to implementation.

Gain Practical Insights into Computer Vision

Master the deep learning fundamentals you need to devise robust computer vision solutions.

Mix and Match Your Technical Expertise

Discover how working at the crossroads of neural networks and computer vision empowers you to solve a variety of data problems.

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“Background knowledge alone isn't enough to thrive in AI and Machine Learning. Practitioners must have a deeper understanding of theoretical and practical AI and focus on more applied machine learning. This is why in our live training session we will explore the black box of a working convolutional neural network and learn how to piece one together from scratch.” – Richmond Alake

Richmond Alake

Who Is This Course For

Data Scientists

You assist businesses with their decision-making using your analytical, and data storytelling skills

ML Engineers

You aim to utilize advanced machine learning algorithms to build highly accurate predictive models

Computer Engineers

You design computer systems that maximize system operations and build upon competitive strengths

Level Of Difficulty

Intermediate

Computer Vision with Neural Nets is an intermediate-level training that requires familiarity with the topic. Professionals who lack relevant knowledge are encouraged to dedicate some time to self-preparation before the event to build the necessary foundation. Contact us to discuss in detail if the training is suitable for your team.

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Meet Richmond Alake

A machine learning architect with experience in computer vision and deep learning, Richmond is committed to his passion of developing new intelligent systems.

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5+years of experience

Here’s What Your Team Will Learn

Recognize the many types of computer vision tasks
Solve typical computer vision problems using neural networks
Utilize libraries such as TensorFlow and Keras to implement deep learning solutions
Master the strategies employed during machine learning model training
Create a deep neural network that classifies images to human-level accuracy
Develop a working convolutional neural network from scratch

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Curriculum

3 hours

Overview Computer Vision and Deep Learning 60 min

Unpacking Computer Vision

Unpacking Deep Learning

Introduction to Neural Networks

Introduction to Deep Neural Networks

Introduction to Convolutional Neural Network

Overview of CNN Architectures

Solving Image Classification with Deep Learning Models (I) 60 min

Introducing TensorFlow and Keras

Coding Session: Implementing A Deep Neural Network

Coding Session: Image Classification With A DNN

Solving Computer Vision Problems with Deep Learning Models (II) 60 min

Coding Session: Implementing AlexNet (CNN) from Scratch

Code Walkthrough / Hands-on Exercises: Image Classification With AlexNet

Frequently Asked Questions

How long does a live training last?

The instructor predetermines the length of a live training session. A single live training can last from a few hours to several days and include multiple sessions. The duration can also be adapted to your team’s needs upon request. To learn more, complete the signup form or contact us at team@365datascience.com.

Does my team need any relevant qualifications or experience to join a live training session?

No prior experience or qualifications are required to attend live training sessions. Each training has a dedicated page with all the details you need to make the right choice for your team—including information on what your team can expect, level of difficulty (beginner, intermediate or advanced), top benefits, and areas of expertise.

When does the live training usually take place?

We offer a great deal of flexibility concerning the dates and times of the live training. Sessions are scheduled according to your team's and instructor's availability.

How can I become a live training instructor?

If you possess outstanding qualifications in data science and enjoy sharing your knowledge with others, we’d love to hear from you. As a member of our community of industry-leading live training instructors, you’ll be delivering an excellent learning experience to our shared clients. We’ll manage all the admin—including integrating your training into our line-up and scheduling them according to availability. Use our contact form to get in touch.

How can I book a live training session?

Our live training sessions are open to all corporate clients who wish to accelerate their team’s progress through direct online coaching from industry leaders. Prices vary depending on the level of expertise you want your teams to acquire and the length of the training. Sign up using the contact form on the individual live training pages for more information on pricing and how to book.

Will my team have access to real-time conversations with industry experts?

Yes, direct communication with the instructors forms the backbone of our live training. Your team will have the opportunity to actively participate in the training, ask any questions relevant to their specific roles, and tap into the industry-leading expertise of our instructors. The goal is to boost engagement with the content and enable team members to pick up new skills quicker.

Attending live training sessions as a team will equip your employees with new practical skills and boost their professional confidence. Moreover, internal upskilling opportunities are an excellent way to create a sense of belonging in the workplace and improve job satisfaction.

How many team members can join a live training session?

Our live training sessions can host up to 100 participants. If you wish to invite more team members, specify the number of attendees as a comment on your request form or contact us at team@365datascience.com. We’ll always do our best to accommodate your needs.

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