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.
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.
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
IntermediateHere’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
Curriculum
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
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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