Learn LIVE with
Amin Uddin
The Depths of Deep Learning: How to Automate Your Processes
Take your business into the future with advanced deep-learning algorithms and frameworks that achieve bigger and better results.
Accelerate Business Success with Cutting-Edge Algorithms
Adjacent to machine learning, deep learning is a lucrative field capable of creating even more innovative models to improve business operations. Backed by artificial intelligence and frameworks like convolutional neural networks (CNN), the models work with multiple layers of processing units (neurons) to learn and augment effective decisions. As a steep competition to machine learning, deep learning has several advantages that give an edge to companies that utilize its capabilities within their business. The algorithms achieve better, more state-of-the-art results in various tasks, such as image and speech recognition, natural language processing, and machine translation. In this training, Amin Uddin will show you how to approach deep learning best, integrate it within your organization, and solve complex real-world problems.
Tap into the Innovative Potential of Deep Learning Frameworks
Empower Your Data Team
Upskill your team with the most in-demand, industry-specific deep learning practices.
Solve Real-World Problems
Discover the benefits of neural networks as a driving force for positive organizational change.
Maximize Impact Through Automation
Boost the decision-making process by implementing automation for your business processes.
Amin Uddin
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
AI Practitioners
As an AI experts, you seek to implement state-of-the-art algorithms and fine- tune AI solutions to enhance business performance
Level Of Difficulty
IntermediateWhat Your Team Learns
- Design, train, and evaluate convolutional neural networks and feedforward networks.
- Implement advanced techniques like regularization, transfer learning, etc.
- Analyze and interpret your model’s results to improve performance.
- Communicate the outcomes to stakeholders.
- Deploy deep learning models for production.
- Manage large datasets and distributed model systems.
Curriculum
Introduction to Deep Learning 60 min
Overview of Deep Learning, Its Applications, and the Basics of Neural Networks.
Multilayer Perceptrons (MLPs) 60 min
Introduction to Feedforward Neural Networks, Including the Backpropagation Algorithm, Activation Functions, and Weight Initialization Techniques.
Convolutional Neural Networks 60 min
Overview of Convolutional Neural Networks (CNNs), Including Convolutional Layers, Pooling Layers, and Transfer Learning.
Computer Vision 60 min
Overview of Deep Learning Techniques for Computer Vision, Including Image Classification, Object Detection, and Semantic Segmentation.
Face Mask Detection 60 min
Step-by-step Code Coverage for a Face Mask Detection Project Using CNNs and Transfer Learning.
Q&A Session 60 min
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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