Deep Learning Internship
Deep Learning (DL) is an advanced subset of Machine Learning that uses artificial neural networks to model and process complex patterns in large datasets. Inspired by the human brain, deep learning excels in tasks like image recognition, natural language processing, speech recognition, and autonomous decision-making. It plays a crucial role in industries such as healthcare, robotics, autonomous vehicles, and advanced analytics.
Who Can Join
- Engineering & Technology Students
- B.TECH & M.TECH students (all relevant branches)
- Specializations: CSE, IT, ITM, ITC, AI, ML, DS
- B.TECH & M.TECH students (all relevant branches)
- Graduates & Final-Year Students
- Computer Science & IT graduates or final-year students
- MCA, BCA, CA (Application), B.Sc., M.Sc. in CSE/IT
- Computer Science & IT graduates or final-year students
- Others
Anyone seeking hands-on experience in building and deploying deep learning models.
How Deep Learning Works at Prasartech
At Prasartech Projects and Solution, deep learning is a key focus in our advanced AI projects. Interns work on developing multi-layered neural networks that can learn from vast amounts of data to produce accurate predictions and intelligent outputs. Our training blends theoretical foundations with practical, project-based applications.
Industry-Relevant Skills
Interns will explore:
- Artificial Neural Networks (ANN) fundamentals.
- Convolutional Neural Networks (CNN) for image and video processing.
- Recurrent Neural Networks (RNN) and LSTM for sequential data.
- Transfer Learning and Pre-trained Models.
- Deep Learning frameworks such as TensorFlow, PyTorch, and Keras.
- Artificial Neural Networks (ANN) fundamentals.
Hands-On Project Work
- Image classification and object detection using CNNs.
- Natural language processing with RNN/LSTM architectures.
- Voice and speech recognition systems.
- Deployment of deep learning models on cloud or edge devices.
- Image classification and object detection using CNNs.
Expert Mentorship
Students receive guidance from industry professionals experienced in deep learning research and implementation. Mentors provide insights into network architecture design, optimization, and deployment best practices, along with structured reviews to ensure skill mastery.
Outcome
- Strong technical expertise in Deep Learning concepts and tools.
- Ability to design, train, and deploy deep learning solutions for real-world challenges.
- Strong technical expertise in Deep Learning concepts and tools.
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