Home > Data Science > Deep Learning with Tensorflow
Eligible for Graduates with 2+ yrs
of experience in IT/ITES
Deep Learning with Tensorflow
GPU Based EnvironmentAccess to a GPU-based environment and get hands-on experience in different tools.
10+ Real-Life Case StudiesPractice on real case studies, ensures complete understanding and retention of the knowledge on each of the concepts.
Hands-on ToolsHands-on training on Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools.
Live Meet-UpsGet to network with AI Experts and Enthusiasts through live meetups.
Live InteractionsConcept explanation and implementation through live webinars and guidance by experts.
Artificial Intelligence is enabling businesses to grow at a rapid pace. It is facilitating cost and time-effectiveness for them, while demanding more professionals in the field. Candidates pursuing a career in AI and DL can take up this course and fill the gap between the demand and supply of AI/DL professionals in the industry.
This course introduces you to TensorFlow, which is an open-source library by Google, for Machine Learning and Deep Learning. It is the standard tool for developing Deep Learning applications. Also, with this course, you will learn about Image Recognition and Speech Recognition using Convolution Neural Networks (CNN) and Recurrent Neural Networks (RNN).
With Manipal ProLearn’s course, you will gain functional knowledge in Deep Learning and TensorFlow. The course incorporates experiential learning practices through case studies and assignments involving TensorFlow, Keras and other tools. This will help you become job-ready. You will
- Learn about Image Recognition and Speech Recognition with Deep Learning.
- Apply TensorFlow, Scikit Library and Keras to solve problems.
- Get an in-depth understanding of the use of Convolution Neural Networks (CNN) and Recurrent Neural Networks (RNN).
IT graduates and IT consultants willing to learn about AI and DL
IT freshers with knowledge of Python programming
IT professionals with knowledge of Machine Learning ad Text Analytics
IT professionals with knowledge of TensorFlow and Neural Networks
Introduction to Image processing and Computer vision.
Convolutional Neural Networks (CNN)
Object Detection in Images
Object Detection in Video
Advance Text Analytics
Natural Language Processing
Recurrent Neural Networks- RNN
Time Series Analysis with RNN
Variations of RNN- LSTM and GRU Building and Training an RNN for Speech Recognition Developing Chatbots