• 4-Day(2 weekends) Intensive Program
  • 3 Months Live Project Mentoring
USD 1536
USD 922

Live Virtual

  • Hrs Live Virtual Intensive Program
  • 3 Months Live Project Mentoring
USD 1382
USD 829

Self Learning

  • 1 Year Access to Elearning content
  • 3 Months of Live Project Mentoring
USD 768
USD 461


Artificial Intelligence is growing at a fast pace and started occupying multiple aspects of human lives. Learning about the artificial neural networks and how it is being used for Machine Learning is indeed a new revolution that needs to be embraced by all the professionals.

DataMites™ Deep Learning course in Pune covers all the basic components of deep learning and develop necessary code to build various algorithms with a major focus on how to apply them. The deep learning course syllabus is structured by industry experts covering all the concepts. The structured pattern of this course with real-time examples helps the aspirants to easily grasp the concepts. It is a great opportunity for Pune aspirants to take up a globally recognized certificate and lay a strong foundation for your AI career.



Deep Learning with Python course will get you ready for AI career. Deep Learning is also one of the highly coveted skill in the tech industry. This course covers popular Deep Learning algorithms: Convolutional Networks, BatchNorm, RNNS etc., with the case studies from autonomous driving, healthcare, Natural language processing etc., With this course, you will not only master the concept behind deep learning but also see the application of real world.


 -  Introduction to TensorFlow

 -  Computational Graph

 -  Stochastic Gradient Descent

 -  Visual TensorBoard

 -   Keras with TensorFlow

 -  Role of Activation functions in ANN network

 -  Activation Functions: 

 -  Sigmoid (Binary)

 -  Softmax (Multiclass)

 -  ReLU (Linear)

 -  Introduction to ANN

 -  Concept of Perceptron

 -  Perceptron Training Rule

 -  Gradient Descent Rule

 -  Gradient Descent

 -  Stochastic Gradient Descent

 -  Backpropagation

 -  Some problems in ANN

 -  Overfitting and Capacity

 -  Cross Validation

 -  Feature Selection

 -  Regularization

 -  Hyperparameters

 -  Introduction to CNNs

 -  Principles behind CNNs

 -  Kernel and Multiple Filters

 -  CNN Image Classification demo


 -  Introduction to RNNs

 -  Unfolded RNNs

 -  Seq2Seq RNNs

 -  LSTM

 -  RNN applications

 -  Image Processing

 -  Natural Language Processing

 -  Speech Recognition

 -  Video Analytics

 -  Image Classification with CNN - Keras 

 -  Natural Language Processing  with NKTL live project


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