Deep Learning using Python Training in Bangalore - ZekeLabs Best Deep Learning using Python Training Institute in Bangalore India
Deep Learning using Python-training-in-bangalore-by-zekelabs

Deep Learning using Python Training

Deep Learning using Python Course: Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow, CNTK or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. In this course, we extensively cover deep learning using Keras
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Industry Level Projects
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Certification

Deep Learning using Python Course Curriculum



What is machine learning?
Supervised learning
Reinforcement learning
Brief description of popular techniques/algorithms
Decision trees
Naïve Bayes
The cross-entropy method
Deep learning
Why neural networks?
Neurons and layers
The back-propagation algorithm
Logistic regression
Applications in industry
Medical
Business
Speech production
What is deep learning?
Feature learning
Deep learning applications
Object recognition and classification
Popular open source libraries – an introduction
TensorFlow
Sample deep neural net code using Keras
Autoencoders
Regularization techniques for autoencoders
Contractive autoencoders
Summary of autoencoders
Hopfield networks and Boltzmann machines
Restricted Boltzmann machine
Deep belief networks
Similarities between artificial and biological models
Convolutional layers
Pooling layers
Convolutional layers in deep learning
A convolutional layer example with Keras to recognize digits
Pre-training
Recurrent neural networks
Backpropagation through time
Long short term memory
Word-based models
Neural language models
Preprocessing and reading data
Training
Example training
Speech recognition pipeline
Preprocessing
Deep belief networks
CTC
Decoding
Early game playing AI
Implementing a Python Tic-Tac-Toe game
Training AI to master Go
Deep learning in Monte Carlo Tree Search
Policy gradients for learning policy functions
A supervised learning approach to games
Q-Learning
Q-learning in action
Experience replay
Atari Breakout
Preprocessing the screen
Convergence issues in Q-learning
Actor-critic methods
Generalized advantage estimator
Model-based approaches
What is anomaly and outlier detection?
Popular shallow machine learning techniques
Detection modeling
H2O
Examples
Electrocardiogram pulse detection
What is a data product?
Weights initialization
Adaptive learning
Momentum
Newton's method
Adadelta
Sparkling Water
Model validation
Unlabeled Data
Hyper-parameters tuning
A/B Testing
Deployment
Anomaly score APIs

Frequently Asked Questions


We provide classroom-based as well as online training. Since this is a hand-on training so batches generally does not contain more than 4 people.

We will provide web services specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for these Deep Learning using Python through our github account and the study material that we share with you. You can use that for quick reference.

Feel free to drop a mail to us at support@zekelabs.com and we will get back to you at the earliest for your queries on Deep Learning using Python course

We have tie ups with various companies and placement organizations to whom we connect our learners. Each Deep Learning using Python training ends with career consulting

Minimum 2-3 projects of industry standards on Deep Learning using Python will be provided

Yes, we provide our own course completion certificate to all students. Each Deep Learning using Python training in bangalore ends with training and project completion certificate

You can pay by card (debit/credit), cash, cheque and net-banking. You can pay in two installments

We take immense pride to provide post training career consulting for Deep Learning using Python training



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