To empower young Nigerians with foundational technical skills and job-ready competencies in Data Science and AI in collaboration with DSN.
Joined January 2025
- Tweets 612
- Following 5
- Followers 1,591
- Likes 230
226 Photos and videos
Why are Activation Functions Important in Deep Learning?
What makes deep learning capable of solving complex real-world problems?
A key factor is the use of activation functions.
1
6
81
Activation functions introduce non-linearity into neural networks, allowing them to identify and learn complex patterns within data. This capability is what enables deep learning models to perform tasks such as image recognition, language translation, and speech processing.
1
33
They are an essential component of modern AI systems.
#datasciencenigeria #3mttdeeptechready
28
Your learning journey isn't over yet.
Join our Cohort 3 Feedback Session to share your experience, get support with any challenges you're facing, and learn about the next steps in the DeepTech_Ready program.
1
44
This is an opportunity to receive personalized guidance, ask questions, and understand what you need to do to successfully complete the program.
π
Thursday, 18th June 2026 π 5:00 PM π Telegram
1
1
35
You still have the chance to complete your learning modules and secure your place in the next phase of the program. We look forward to hearing from you.
#datasciencenigeria #3mttdeeptechready
1
20
What is Backpropagation?
How do deep learning models learn from their mistakes?
Through a process called backpropagation.
1
1
54
Backpropagation allows a neural network to work backward from its errors, adjusting its parameters to improve future predictions. It is one of the core mechanisms that enables deep learning models to learn and become more accurate over time.
1
1
51
Without backpropagation, neural networks would not be able to refine their performance effectively.
#datasciencenigeria #3mttdeeptechready
17
βThe beautiful thing about learning is that no one can take it away from you.β β B. B. King
Every lesson learned, every skill developed, and every challenge overcome becomes a part of you.
1
45
Knowledge is one of the few investments that continues to grow in value over time, opening doors to new opportunities and possibilities.
Keep learning. Keep growing. Your future self will thank you for the effort you put in today.
#datasciencenigeria #3mttdeeptechready
32
One opportunity, taken seriously, can change everything.
From building future-ready skills through DeepTech_Ready to taking on ambassadorial and leadership roles, John Umoh's journey is a reminder that consistent learning creates real opportunities.
1
1
38
What is a loss function in deep learning? π§ π
A loss function is a method used to measure how far a modelβs predictions are from the actual or correct answers.
1
1
46
Optimize the performance of neural networks
During training, the model continuously adjusts its parameters to minimize loss and make better predictions.
Different tasks use different loss functions. For example:
π Mean Squared Error (MSE) for regression problems
1
34
π Cross-Entropy Loss for classification tasks
Loss functions are a key part of how deep learning models learn patterns, make decisions, and improve with experience. π
#datasciencenigeria #3mttdeeptechready #DeepLearning
19
What is the purpose of data augmentation in computer vision? πΌοΈπ€
Data augmentation is a technique used to increase the diversity of training images by applying transformations such as flipping, rotating, cropping, zooming, or changing brightness.
1
2
95
By exposing models to multiple variations of the same image, data augmentation improves the reliability and effectiveness of AI systems used in image classification, object detection, facial recognition, and many other computer vision applications.
1
43