Course Syllabus

Lesson 1 – Welcome!

Lesson 2 – Introduction to Tensorflow

Lesson 3 – Convolutional Networks

Lesson 4 – Recurrent Neural Network

Lesson 5 – Restricted Boltzmann Machines (RBM)

Lesson 6 – Autoencoders

Lesson 7 – Course Summary

The Deep Learning course (with Keras and Tensorflow) certification training offers you a competitive edge in solving applications without human intervention. The training provides you with ways of expanding the limits of what a computer system can accurately inspect. The Deep Learning course (with Keras and Tensorflow) certification training course online will help you differentiate between Deep Learning, Machine Learning, and Artificial Intelligence.

Once you complete the Deep Learning course (with Keras and Tensorflow) certification training, you will be adept in skills such as –

Use an open-sourced framework like TensorFlow and a high-level API like Keras and benefit from the vast library of deep neural networks

With improved processing power you can use these two frameworks for deep learning projects in most popular languages like C, C++, Python, Java, Android, Linux, Windows, IoS, and many more

Learn to use PyTorch and its elements which will give you simpler and faster Python codes to generate dynamic computational graphs.

Use of PyTorch will ensure better optimization of data.

Analyse visual elements with the help of Convolutional Neural Networks (CNN), while working on image classification

Speed up your image classifying process and increase its efficiency

Use ANNs in pattern recognition software, while also utilising them in making machine learning models

Learn to use Autoencoders to develop models of image processing, anomaly detection, machine translation, and other deep learning models

Utilise Deep Neural Networks in a variety of models based on deep learning for increased computation power, like speech recognition, audio recognition, image analysis, and machine vision

Analyse large pools of raw and unsegmented data with the use of rich recurrent neural networks

Understand the role of optimizers to establish and reform the weight parameters in diminishing the loss function

Upon completion of the Deep Learning course with (Keras and Tensorflow) certification training, participants will acquire an industry-recognized course completion certificate with lifelong validity after the completion of course. You can find lucrative roles as a data scientist or a machine learning engineer in diverse industries such as healthcare, information technology, fin-tech, and e-commerce. As a certified Deep Learning professional, you can earn up to 13 Lakhs per annum.

In fact, several top recruiters such as Accenture, Oracle, Walmart, NVIDIA, Microsoft, and many more are always on the lookout for certified Data Learning professionals so you can get opportunities without fail.