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ourse covers Neural Networks with Tensorflow, Tensor Board, Deep Leaning concepts
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Intensive 4 days Classroom/LVC Training and 3 months LIVE Project mentoring.
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Unlimited access to Data Science Cloud Lab for practice.
DEEP LEARNING TENSORFLOW COURSE
4.9 (21,693) reviews
Accredited by
3+ Live
Projects
Skill AI
Certificate
DEEP LEARNING TENSORFLOW CERTIFICATION AUTHORITIES
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Live Virtual
Instructor Led Live Online
₹55,221
NASSCOM® Certification
6-Month / 200 Learning Hours
80-Hour Live Online Training
10 Capstone & 1 Client Project
365 Days Flexi Pass + Cloud Lab
Internship + Job Assistance
DEEP LEARNING TENSORFLOW COURSE FEE
Blended Learning
Self Learning + Live Mentoring
₹32,505
NASSCOM® Certification
6-Month | 200 Learning Hours
32-Hour Classroom Sessions
10 Capstone & 1 Client Project
Cloud Lab Access
Internship + Job Assistance
Financing Options
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Pay In Installments, as low as
We have partnered with the following financing companies to provide competitive finance options at as low as
0% interest rates with no hidden cost.
Admission Closes On : 31st December 2026
WHY DATAMITES INSTITUTE FOR DEEP LEARNING TENSORFLOW COURSE
Expert Trainers
PH.Ds AND INDUSTRY EXPERTS
ELITE FACULTY FROM PRESTIGIOUS
UNIVERSITIES WITH DEEP RESEARCH
AND COACHING EXPERTISE
Specialized Syllabus
SPECIALIZED SYLLABUS FOR MANAGERS
PERSONALIZED COUNSELLING FOR CAREER
ENHANCEMENT IN MANAGERIAL ROLES
FOCUSED ON DATA SCIENCE FOR DECISION MAKING,
MANAGING DATA SCIENCE PROJECTS WITH ESSENTIAL TECHNICAL OVERVIEW
Career Guidance
EXPERT COUNSELORS
TECHNIQUES FOR SCENARIOS WITH CERTAINTY,
LOW UNCERTAINTY AND HIGH CERTAINTY FROM
DECISION TREE TO MONTE CARLO SIMULATION
5 Case Studies
PRACTICAL DECISION-MAKING CASES
SYLLABUS OF DEEP LEARNING TENSORFLOW COURSE
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What is a neural network?
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Supervised Learning with Neural Networks - Python
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How Deep Learning is different from Machine Learning
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What is Machine Learning?
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Supervised Machine Learning algorithms
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K-Nearest Neighbors (KNN) concept and application
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Naive Bayes concept and application
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Logistic Regression concept and application
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Classification Trees concept and application
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Unsupervised Machine Learning algorithms
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Clustering with K-means concept and application
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Hierarchial Clustering concept and application
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Representing tensors
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Creating operators and excuting with sessions
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Introduction Jupyter notebook for TensorFlow coding
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TensorFlow variables
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Visualizing data using TensorBoard
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Regression problems
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Linear regression applications
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Regularization
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Available datasets
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Coding Linear Regression with TensorFlow - Case study
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Basic Neural Nets
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Single Hidden Layer Model
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Multiple Hidden Layer Model
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Introduction to Convolutional Neural Networks
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Input Pipeline
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Introduction to RNN, LSTM, GRU
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Concept of Reinforcement Learning
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Simple model applying Reinforcement Learning in TensorFlow
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Example Application - Case study
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Hands on building the Deep Learning application with TensorFlow
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