Deep Learning based Convolutional Neural Networks (CNN) for Image recognition using Keras and Tensorflow in R Studio
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.
This course overview graphic displays the Keras, R, and TensorFlow software stack alongside a visual diagram illustrating the mathematical concepts and implementation of image recognition.
This slide introduces the course instructors, Abhishek Bansal and Pukhraj Parikh, outlining their professional experience in analytics and education at institutions like IIT Roorkee.
This course content overview slide outlines the initial curriculum steps, specifically highlighting the setup of R and providing a crash course introduction for beginners.
Free
Free
FreeThe curriculum moves from R Studio setup through core neural network theory to practical CNN construction using the MNIST Fashion dataset and VGG16 transfer learning.
Instruction provides a pathway for applying Keras and Tensorflow within the R environment, catering to those avoiding Python.
One signal from 2022 suggests difficulties with instructor accent and a lack of clear code comments to segregate different sections of the analysis; note that the recent update label does not prove these issues were addressed.
A 2023 signal indicates that not all code used during demonstrations may be readily available for download; the current update label does not guarantee this was resolved.
The curriculum aligns with the goal of teaching CNNs to beginners using R and R Studio.