Keras Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

Keras is a popular high level programming framework for deep learning that simplifies the process of building deep learning applications. Instead of coding in low level TensorFlow and provide all the details, Keras provides a simplified programming interface wrapper over Tensorflow. In Deep Learning with Keras training course, you will learn to use Keras for deep learning and machine learning, CNN, RNN, and explore many powerful pre-trained deep learning models included in Keras.

In Keras - Advanced training course, you will learn Keras Functional API to build complex models, Hyper Parameter Tunning with Keras, and Auto-Keras Callbacks.

In Keras - Sequential Data Modeling training course, you will learn Sequential data analysis using Keras.

In Keras - Deep Learning for Image Classification training course, you will learn to build basic to advanced image classification model using Keras.

By attending Deep Learning with Keras workshop, delegates will learn:

Neural Network with Keras
Build a Predictive Regression Model with Keras
Build a Classification Model with Keras
Build a CNN Image Classification Model with Keras
Transfer Learning with Keras
Build a RNN Classification Model with Keras

By attending Keras - Advanced workshop, delegates will learn:

Hyper Parameter Tunning with Keras and Auto-Keras
Callbacks
Functional API to build complex models
Keras backend to invoke Tensorflow operations
Auto-Keras

By attending Keras - Sequential Data Modeling workshop, delegates will learn:

Recap of RNN and LSTM
1D Convolution
Sequence 2 Sequence Model
Attention Mechanism

By attending Keras - Deep Learning for Image Classification workshop, delegates will learn:

Neural Network with Keras
Build a CNN Image Classification Model with Keras
Functional API
Transfer Learning with Keras

For Deep Learning with Keras class:

Basic Python

For Keras - Advanced class:

Basic Python
Basic Keras

For Keras - Sequential Data Modeling class:

Python
Basic Keras
Machine Learning

For Keras - Deep Learning for Image Classification class:

Basic Python

Data Scientists
Data Analysts
Engineers

Getting Started on Keras

What is Keras
Keras vs TensorFlow
Install and Run Keras

Predictive Model with Neural Network

What is Neural Network (NN)?
Scaling Data for Regression
Loss Function and Optimizer
Regression Predictive Model with NN

Classification Model with Neural Network

One Hot Encoding
Cross Entropy and SoftMax
Classification Model with NN

Convolutional Neural Network (CNN)

What is CNN?
ImageDataGenerator
Image Classification Model with CNN
Data Augmentation and Dropout

Transfer Learning

What is Transfer Learning
Keras Pre-Trained Models
Fine Tuning Pre-Trained Models

Recurrent Neural Network (RNN)

What is RNN?
Long Term Dependencies
LSTM and GRU Cells
RNN Classification Model on IMDB datasets

Recap on Keras Basic

Sequential Model
Feedforward Neural Network (NN)
Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)

Functional API

What is Functional API
Code Sequential Models with Functional API
Fine Tune Transfer Learning with Functional API
Implement GAN with Functional API
Create Multi Input and Output Model

Callbacks

Keras Callbacks
ModelCheckPoint Callback
Tensorboard Callback

Data Generator

Image Class Generator
Fit Generator
Flow from Directory Generator
Custom Data Generator

Keras Backend

What is Keras Backend
Keras Backend Commands
Create Custom Loss Function

Word Embedding

One Hot Encoding of Words
Word Embedding
Pre-Trained Word Embedding

RNN and LSTM

Recurrent Neural Network (RNN)
Long Short Term Memory (LSTM) and GRU
Stacked RNN
Bidirectional RNN
Case Studies on Time Series Prediction with LSTM

1D Convolution

1D Convolution on Sequential Data
Combining 1D Convolution and RNN

Sequence To Sequence Model

What is Seq2Seq Model
Attention Mechanism

Keras Basics

What is Keras
Keras vs TensorFlow
Google Colab
Install and Run Keras on Google Colab

Image Classification Model with Feedforward Neural Network (NN)

What is Feedforward NN
One Hot Encoding
Cross Entropy and SoftMax
MNIST Dataset
NN Image Classification NN Model for HandWritten Digits

Image Classification with Convolutional Neural Network (CNN)

What is CNN?
CNN Architecture
CNN Image Classification for HandWritten Digits
Image Class Generator and Fit Generator
CNN Image Classification for Cats and Dogs Images
Solving Overfitting with Dropout & Data Augmentation
Mini Project on Image Classification

Image Classification with Transfer Learning

What is Transfer Learning
Image Classification with Pre-Trained Models
Fine Tune Pre-Trained Models
Mini Project on Transfer Learning

Keras Functional CNN Model

What is Functional API
Split CNN Model for Image Classification
Mini Project on Functional CNN Model

Object Detection with Mask R-CNN

Overview of R-CNN Models
Mask R-CNN Demo

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Keras

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