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

Deep Learning using Tensorflow Training

Deep Learning using Tensorflow Course: Opensource since Nov,2015. Roots in Google Brain team.Library for doing Complex Numerical Computation to build machine learning models from scratch.It has scikit-flow similar to scikit-learn for high level machine learning API's. Tensorflow uses Directed Graph as its computational model, similar to Spark. Functions are nodes & edges data. Graph model makes it well suited for deploying Neural Networks.Data flow graph model makes it easily distributed - across CPUs, GPUs & multiple systems.Tensorboard, a visualization software along with Tensorflow makes debugging & analyzing machine learning models really easy.Pre-trained tensorflow model for small devices like mobile, raspberry pi etc makes it highly portable.TensorFlow-Serving is available for deploying pre-trained models in production. Deep Learning is heavily adopted across many companies using TensorFlow.
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Deep Learning using Tensorflow Course Curriculum



Setting up a deep learning environment
Installing Anaconda and libraries
Intuitively building networks with Keras
Tensorflow Basic Operations-A simple example that cover TensorFlow basic operations.
Tensorflow Logistic Regression-Implement a Logistic Regression with TensorFlow.
Tensorflow K-Means-Build a K-Means classifier with TensorFlow.
Understanding the perceptron
Building a multi-layer neural network
Hidden layers and hidden units
Tuning the loss function
Improving generalization with regularization
Tensorflow Simple Neural Network-MNIST
Getting started with filters and parameter sharing
Optimizing with batch normalization
Experimenting with different types of initialization
Applying a 1D CNN to text
Tensorflow Convolutional Neural Network (tf.layers/estimator api)-MNIST
Implementing a simple RNN
Using gated recurrent units (GRUs)
Character-level text generation
Tensorflow Bi-directional Recurrent Neural Network (LSTM)-MNIST
Auto-Encoder
Understanding GANs
Upscaling the resolution of images with Super Resolution GANs (SRGANs)
Tensorflow DCGAN (Deep Convolutional Generative Adversarial Networks)
Augmenting images with computer vision techniques
Localizing an object in images
Scene understanding (semantic segmentation)
Recognizing faces
Analyzing sentiment
Summarizing text
Visualizing training with TensorBoard and Keras
Using grid search for parameter tuning
Comparing optimizers
Adding dropouts to prevent overfitting
Visualizing training with TensorBoard
Freezing layers
Large-scale visual recognition with GoogLeNet/Inception
Leveraging pretrained VGG models for new classes
CIFAR 10 image classification

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 Tensorflow 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 Tensorflow course

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

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

Yes, we provide our own course completion certificate to all students. Each Deep Learning using Tensorflow 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 Tensorflow training



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