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Advanced Deep Learning and Computer Vision

507 Ratings

Key Highlights

Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access
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Curriculum

Live Course

Module 01 - RBM and DBNs & Variational AutoEncoder

1.1 Introduction rbm and autoencoders
1.2 Deploying rbm for deep neural networks, using rbm for collaborative filtering
1.3 Autoencoders features and applications of autoencoders.

Module 02 - Object Detection using Convolutional Neural Net

2.1 Constructing a convolutional neural network using TensorFlow
2.2 Convolutional, dense, and pooling layers of CNNs
2.3 Filtering images based on user queries

3.1 Automated conversation bots leveraging
3.2 Generative model, and the sequence to sequence model (lstm).

4.1 Parallel Training
4.2 Distributed vs Parallel Computing
4.3 Distributed computing in Tensorflow
4.4 Introduction to tf.distribute
4.5 Distributed training across multiple CPUs
4.6 Distributed Training
4.7 Distributed training across multiple GPUs
4.8 Federated Learning
4.9 Parallel computing in Tensorflow

5.1 Mapping the human mind with deep neural networks (dnns)
5.2 Several building blocks of artificial neural networks (anns)
5.3 The architecture of dnn and its building blocks
5.4 Reinforcement learning in dnn concepts, various parameters, layers, and optimization algorithms in dnn, and activation functions.

6.1 Understanding model Persistence
6.2 Saving and Serializing Models in Keras
6.3 Restoring and loading saved models
6.4 Introduction to Tensorflow Serving
6.5 Tensorflow Serving Rest
6.6 Deploying deep learning models with Docker & Kubernetes
6.7 Tensorflow Serving Docker
6.8 Tensorflow Deployment Flask
6.9 Deploying deep learning models in Serverless Environments
6.10 Deploying Model to Sage Maker
6.11 Explain Tensorflow Lite Train and deploy a CNN model with TensorFlow

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Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

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Certification

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