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Deep Learning Course Features

DEEP LEARNING LEAD MENTORS

Live Virtual

Instructor Led Live Online

72,000
35,595

  • IBM® & IABAC® Certification
  • 6-Month / 200 Learning Hours
  • 80-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

43,000
19,845

  • Self Learning + Live Mentoring
  • IBM® & IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Classroom

In - Person Classroom Training

90,000
59,745

  • IBM® & IABAC® Certification
  • 6-Month | 200 Learning Hours
  • 32-Hour Classroom Sessions
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

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Why DataMites Infographic

 -  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

DEEP LEARNING REVIEWS

ABOUT DEEP LEARNING TRAINING IN PUNE

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.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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