Course on
Deep Learning
The course builds a solid foundation and indepth unnderstanding of the most popular and widely used deep learning technologies and its applications, including Convoluted and Recurrent Neural Networks, Tensor Flow and even Keras–laying the building blocks for truly expanded capabilities.
Key Features
Gain experience with handson exercises
Instructor led training
Flexibility of learning in class or online
Industry exposure – Use Cases
Learn by doing – Assignments, Tasks
Curriculum – par with Industry
Innovative Approach – Discussions, Quiz, webinar
Project Based Learning Approach
Capstone Projects
Solutions for your skill gaps
Upskilling and Level Setting
Dedicating mentoring sessions from industry experts
Career Support
Industry valued Certificate
Schedule
| Batch | Mode | Time | Fee | |
|---|---|---|---|---|
| Weekends/ Weekdays | Online Training Instructor Led | Flexible | INR 40000/- | |
| Weekends/ Weekdays | Classroom Training | Flexible | INR 34000/- | 9841557655 |
Curriculum
Prerequisite : Python, Data Science, Machine Learning
Neural Networks Foundations, Fundamentals of deep learning, Activation Functions, hidden layers, hidden units, Illustrate & Training a Perceptron, Important Parameters of Perceptron, Various neural networks involved in deep learning, Creating a sequence of layers and adding layers in Tensorflow and Keras
Deep Learning with MLP, CNN, RNN, LSTM, GRUs, Regression networks, auto encoders, Generative Adversarial Networks, Word Embeddings, Deep reinforcement learning, Q learning
Compile model by specifying functions & optimizers, Execution of the defined model using Tensor flow & Keras, Parameters vs Hyper parameter, Hyper parameter tuning, Regularization, Optimization, Policy Gradient Methods
Capstone Project – I
Capstone Project – II
Tools Covered
