AI Deep Learning Course with Tensorflow
Intellipaat
Course Summary
About Course Intellipaat offers the comprehensive Deep Learning training that will help you t
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Course Description
About Course
What you will learn in this Deep Learning training?
- Introduction to Deep Learning technique
- Artificial neural networks in Deep Learning
- Training neural networks with training data
- Convolutional neural networks and its applications
- TensorFlow and Tensor Processing Unit
- Supervised and unsupervised learning methodology
- Machine learning with Python language
- Application of DL in image recognition, NLP and more
- Real world projects in recommender systems and others
Who should take this Deep Learning Training Course?
- Professionals in analytics, data science domains, ecommerce, search engine domains
- Software professionals looking for a career switch and fresh graduates
What are the prerequisites for taking this Training Course?
Anybody can take this Training Course regardless of their prior skills.Why should you take this Deep Learning Training Course?
Artificial Intelligence today is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Artificial Intelligence that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat Deep Learning training can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.
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Course Syllabus
Deep Learning Course Content
Introduction to Machine LearningThe domain of machine learning and its implications to the artificial intelligence sector, the advantages of machine learning over other conventional methodologies.Deep Learning TechniquesIntroduction to Deep Learning within machine learning, how it differs from all others methods of machine learning, training the system with training data, supervised and unsupervised learning, classification and regression supervised learning, clustering and association unsupervised learning, the algorithms used in these types of learning.TensorFlow for Training Deep Learning ModelIntroduction to TensorFlowopen source software library for designing, building and training Deep Learning models, Python Library behind TensorFlow, Tensor Processing Unit (TPU) programmable AI accelerator by Google.Introduction to Neural NetworksMapping the human mind with Deep Neural Networks, the various building block of Artificial Neural Networks, the architecture of DNN, its building blocks, the concept of reinforcement learning in DNN, the various parameters, layers, activation functions and optimization algorithms in DNN.Using GPUs to train Deep Learning networksIntroduction to GPUs and how they differ from CPUs, the importance of GPUs in training Deep Learning Networks, the forward pass and backward pass training technique, the GPU constituent with simpler core and concurrent hardware.
This course is listed under
Open Source
, Development & Implementations
, Data & Information Management
, Networks & IT Infrastructure
and E-Commerce
Community
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