Browse 49+ Deep Learning Projects
CNNs, RNNs, LSTMs, and Transformers
Build deep learning projects using CNNs, RNNs, LSTMs, and Transformers. Complete source code, datasets, and video tutorials.
Deep learning projects are the cutting edge of machine learning — using neural networks to solve problems that classical ML can't. If you want to work on computer vision, natural language processing, or generative AI, deep learning is your foundation.
Our deep learning projects with source code cover CNNs for image classification, RNNs and LSTMs for sequence data, and Transformers for text. Every project uses real datasets (ImageNet subsets, IMDB, MNIST, custom data) and TensorFlow/Keras or PyTorch.
Popular deep learning project categories include medical image analysis, plant disease detection, face recognition, speech emotion detection, and sentiment analysis. Each project includes complete source code, a project report, and a video tutorial that explains the neural network architecture line by line.
CNNs, RNNs, LSTMs, and Transformers
For small projects, no. For larger models, we recommend Google Colab (free GPU). The code works on both CPU and GPU.
Both. Most projects use TensorFlow/Keras (simpler for beginners). Advanced projects use PyTorch (preferred in research).
ML uses hand-crafted features and classical algorithms. DL uses neural networks to learn features automatically — better for images, audio, and text.
DL projects start at ₹4,999. Advanced CNN/Transformer projects range from ₹6,999 to ₹9,999.
