Duration: 75 Hrs
This course aims to learn the deep learning techniques on the different datasets and formation of new model with the real time applications. The new teaching methodology “teaching through entertainment” is adopted to learn the machine learning techniques.
- Introduction to Deep learning algorithms.
- Deep Learning Algorithm-2/Classification, Prediction and Regression.
- Introduction to Tensor Flow -Libraries.
- Image Processing using OpenCV, Yolo Application.
- Convolutional Neural Networks for Image Analytics/Processing/Capsule network.
- Working on Image Augmentation process /Working on different CNN networks.
- NLPK-LSTM/RNN/GNU (Part-1).
- NLPK-LSTM/RNN/GNU (Part-2).
- Handling Time Series Data /Text Processing.
- Transfer Learning Concepts for Image Classification.
- Transfer Learning-Part II.
- Federated Learning.
- Any engineers / graduates passion to learn the concepts of basic concepts of deep learning / also needs to step into their career as Data Scientist / Data Analyst.