Master Generative AI, Deep Learning Models, LLMs, CNN, RNN & Build Real-World AI Projects from Scratch
InstructorARUNNACHALAM SHANMUGARAAJANComidoc has tracked 13 coupons for this course since 2025, last checked 18d ago. On average, a new coupon appears roughly every 30 days.
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Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This visual overview presents a structured grid of key neural network architectures, including DNN, CNN, GPT, GAN, YOLO, RCNN, and LSTM, each accompanied by its full name.
This educational slide defines deep learning as a type of machine learning using artificial neural networks inspired by the human brain, accompanied by a structural diagram.
The curriculum spans multiple neural network types including CNNs, RNNs, LSTMs, Transformers, and GANs, as well as object detection models like YOLO and ResNet.
Instructional elements assist in distinguishing model characteristics and understanding essential training processes like regularization and optimizers.
The total duration of approximately 86 minutes suggests a high-level survey rather than an exhaustive technical deep dive.
The curriculum aligns with the stated goals of exploring AI and modern architectures for students and developers.
