Get Certification in Deep Learning Course Training| Laxmi Bai Road, Jaora

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Find the best ~listcount~ Deep Learning Training Institutes in Laxmi Bai Road, Jaora as on Oct 20, 2025

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Vidhya Innovative Technology

Laxmi Bai Road, Jaora, 457226

Data Science and Business Analytics Training Business Intelligence & Analytics Training Cognos Certification Training Informatica Training

+7 more

Distance: 129.05 KmsSulekha score: 5.7Years of Experience: 9

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Recently Connected Data Science & Business Analytics Training in Jaora

Deep Learning Training in Laxmi Bai Road, Jaora

Deep Learning is one of the most exciting aspects of artificial intelligence and machine learning technologies. This open source software library is being developed by google mainly for the sake of machine learning neural network research. There are several powerful tools that are being used in deep network to implement neural networks. Candidates who take up this course become proficient in topics such as Tensor Flow, Neural Networks, ANN, Perceptron and Convolutional Neural Network.

Course Contents

Introduction to Deep Learning

What is deep learning
Defining deep learning
What are neural networks
Types of deep learning applications

Perceptron

Introduction to perceptron
Logic gates with perceptron
Functions for activation
Sigmoid and Softmax
ReLU
Hyperbolic functions

Training ANNs

Introduction to ANNs
Perceptron learning rule
Gradient descent rule
Minimizing cost functions
Tuning learning rate
Stochastic gradient
Batch gradient

Multi-Layer ANN

What is MLP
Defining MLP
Forward propagation
Cost function minimizing
Backpropagation
Neural set convergence
Overfitting
Hyper Parameters in ANN
Capacity

Tensor Flow

What is Tensor Flow
Introduction to Tensor Flow concepts
Highlights of Tensor Flow
Regression in Tensor Flow
Gradient Descent
Computational Graph
Keras based networks
Tensor Board
Saving and restoring models

Deep Neural Network

What are deep neural nets
Xavier initialization
Batch normalization
Naive Bayes
Transfer
Unsupervised pre-training
Regularization and dropout
RELU and ELU

Recurrent Neural network

What are RNN
Defining RNN
Unfolded RNN
RNN Cell and basics
Dynamic RNN and training
LSTM
Word embedding
RNN implementation in Tensor Flow

Convolutional Neural Network

What are CNNs
What is a Convolution operation
Kernel filter and feature maps
CNN architecture
CNN and Tensor flow integration
Pooling

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