Deep learning in Python Training in Noida / Greater Noida

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Are you Looking for the Best Institute for Deep learning in Python training in Noida / Greater Noida? DUCAT offers Deep learning in Python training classes with live project by expert trainer in Noida. Our Deep learning in Python training program in Noida is specially designed for Under-Graduates (UG), Graduates, working professional and also for Freelancers. We provide end to end learning on Deep learning in Python Domain with deeper dives for creating a winning career for every profile.

Ducat provides Best training in Delhi ncr on Deep learning in Python doing which you will be able to work on that wonderful arm of Artificial Intelligence. You will get to learn artificial neural networks and also about supervised and unsupervised learning. Python is a very important technology in machine learning which is also covered.


  • what is neural network..?
  • How neural networks works?
  • Gradient descent
  • Stochastic Gradient descent
  • Perceptron
  • Multilayer Perceptron
  • BackPropagation

Keras Installation and API

  • Installing Keras
  • Getting started with Keras architecture
  • An overview of predefined activation functions
  • An overview of losses functions
  • An overview of metrics
  • An overview of optimizers
  • Some useful operations
  • Saving and loading the weights and the architecture of a model

Activation functions

  • What are activation functions?
  • sigmoid function
  • hyperbolic Tangent function
  • ReLu -Rectified Linear units
  • softmax function

Tenserfow Basics

  • What is Tensorflow ?
  • Intallation of Tensorflow
  • Placeholders in Tensorflow defining placeholders feeding placeholders with data
  • Variables,Constant
  • Computation graph
  • visualize graph with Tensor Board
  • MLP digit Classifier using Tensorflow

Feed-Forward Neural Networks with TensorFlow

  • Feed-forward neural networks (FFNNs)
  • Implementing Feed-forward neural networks (FFNNs)
  • Implementing a multilayer perceptron (MLP)
  • Tunning FFNNs hyperparameters

Tuning of Hyperparameters

  • Regularization & Overfitting
  • Regularizing a neural network with dropout
  • Network Weight Initialization
  • Vanishing gradients

Clasifying Images with Convolutional Neural Networks

  • Introduction to CNN
  • Train a simple convolutional neural net
  • Pooling layer in CNN
  • Design a convolutional layer application
  • Understanding and visualizing a CNN

Introduction to Recurrent Neural Networks(RNN)

  • What are Recurrent Neural Networks (RNNs)?
  • Understanding a Recurrent Neuron in Detail
  • Long Short-Term Memory(LSTM)
  • Back propagation Through Time(BPTT)
  • Implementation of RNN in Keras
  • Vanishing and Exploding Gradient Problem

Performing sentiment analysis of IMDb movie reviews

  • using RNNs

Classifying Cats vs Dogs with a Convolutional Neural Network (CNN)

Query Form
Commencing New Batch


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