Neural Networks with TensorFlow
-
GPU Based EnvironmentThe program offers GPU based environment which enable learners to handle a GPU environment that are used in a real-world situation.
-
Live WebinarsLive webinars by experts for concept explanation and implementation through lab practice and assignments.
-
Live Meet-UpsWebinars, meet-ups or doubt-clearing sessions hosted by subject matter experts and professionals help the learners clear their doubts and queries.
-
Hands-on LearningSimple linear regression using TensorFlow, Solving quadratic equations using TensorFlow & Matrix multiplication with Tensorflow.
-
Case Studies & Demo CodesPractice on real case studies, ensures complete understanding and retention of the knowledge on each of the concepts.






Introduction to Tensorflow.
Programming structure in Tensorflow
Variables, Constants and Placeholders, Sessions, Computational Graphs, Tensorboard
What is new in Tensorflow 2.0?

What is a Perceptron?
Perceptron Training
Implementing a perceptron
Recap of Matrix Multiplication
Deep Neural Networks
Training Neural networks with Tensorflow
Types of NN- CNN, RNN, Feedforward, GAN.
Common Tensorflow API - KERAS,
Introduction to Reinforcement Learning
