Master Generative AI, Deep Learning Models, LLMs, CNN, RNN & Build Real-World AI Projects from Scratch
InstructorARUNNACHALAM SHANMUGARAAJANComidoc has tracked 12 coupons for this course since 2025, last checked 9d ago. On average, a new coupon appears roughly every 27 days.
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The curriculum spans multiple neural network types including CNNs, RNNs, LSTMs, Transformers, and GANs, as well as object detection models like YOLO and ResNet.
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.
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.
