Learn LIVE with

Richmond Alake

Computer Vision with Neural Nets

Master the end-to-end machine learning workflow and learn how to apply ML functionalities to solve key computer vision problems.

3h-5h
Intermediate
English
Certificate
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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.

1+M views on Medium
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

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    Frequently Asked Questions

    When do Live Trainings usually take place?

    We offer a great deal of flexibility with regards to the dates and times of Live Trainings. Sessions are scheduled according to your team’s availability and the availability of your instructor.

    How can I become a Live Training instructor?

    If you possess outstanding qualifications in data science, you enjoy speaking in public and sharing your knowledge with others, we’d love to hear from you! Use our contact form to get in touch. As a member of our community of industry-leading Live Training instructors you will only have to worry about delivering an excellent learning experience to our shared clients. We’ll take care of all the admin, including integrating your trainings into our lineup and scheduling them according to your availability.

    How can I purchase Live Trainings?

    Our Live Trainings 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. You can explore the full details, including pricing, of the trainings you’re interested in on their individual pages by signing up for a free Live Training account.

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

    Yes, direct communication with the instructors forms the backbone of our Live Trainings. The goal is to boost engagement with the content and enable team members to pick up new skills faster. Your team will have the opportunity to take active participation in the training, ask any questions relevant to their specific roles, and tap into the industry-leading expertise of our instructors. Attending Live Trainings as a team will not only equip your employees with new practical skills but boost their professional confidence. Moreover, internal upskilling opportunities are the preferred method of employers for creating a sense of belonging at the workplace and improving job satisfaction.

    How many team members can join a Live Training?

    Our Live Trainings can host up to 100 participants. If you wish to invite more team members, you can specify the precise number of attendees as a comment on your request form or get in touch with us at team@365datascience.com. We will always do our best to accommodate your needs! 

    How long does a Live Training take?

    A single Live Training can last anywhere from a few hours to several days and can include multiple sessions. Timeframes are also determined by the level of expertise you want your teams to acquire. To learn more about Live Trainings, sign up now for free.

    Does my team need any relevant qualifications or experience to join a Live Training?

    No prior experience or qualifications are required. Every one of our Live Trainings has a dedicated page containing 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.

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