Python for Computer Vision & Image Recognition - Deep Learning Convolutional Neural Network (CNN) - Keras & TensorFlow 2
InstructorStart-Tech AcademyComidoc has tracked 1 coupon for this course since 2025, last checked 1 year, 26 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| SMARTLEARNFREE | 100% off | Expired | ~4 daysRan full term |
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
A pink educational slide featuring the Keras, Python, and TensorFlow logos above devices showing face detection technology, highlighting mathematical concepts and implementation.
This slide introduces the course instructors, Abhishek Bansal and Pukhraj Parikh, detailing their professional experience in analytics and machine learning alongside their academic credentials.
This slide defines the ideal student profile for the course, visually representing both business analysts presenting data and students learning at a desk.
Free
FreeThe path moves logically from Python basics and essential libraries to single-cell models, multi-layer networks, and specialized CNN components like pooling and padding.
Instruction includes role-play exercises designed to help learners respond to technical interview questions regarding model parameters and neural network concepts.
One signal suggests that explanations of specific architectures and transfer learning techniques may lack the necessary detail for advanced mastery. This review predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
One signal suggests that final project walkthroughs may focus on accuracy scores rather than showing the full implementation process. This review predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The curriculum aligns well with the stated goals of beginners and those seeking a foundation in Python-based deep learning.