- What is a neural network?
- Supervised Learning with Neural Networks - Python
- How Deep Learning is different from Machine Learning
Online
4 Months
₹ 19,373 43,000
Quick facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course overview
Deep Learning - TensorFlow Training by DataMites is supported by global industry experts and saturated with the latest best practices to transform learners into deep learning experts. The workshop and Deep Learning - TensorFlow Training certification syllabus will help them learn the foundations of deep learning with TensorFlow and create an understanding of neural networks. Additionally, they will learn about Adam, BatchNorm, Dropout, Convolutional networks, LSTM, RNNs, etc.
The highlights
- Accredited by the International Association of Business Analytics Certification
- 4 months of Live mentoring
- 32-Hour of classroom session
- Three learning options namely, Blended learning, Live virtual, and classroom
- Free Library
- Flexible learning mode
- Job assistance
- Two months of training
- The course provided by DataMites
- Certificate of completion provided by DataMites
Program offerings
- Capstone project
- Client project
- Online training
- Classroom session
- Case studies
- E-learning
- Live
- Blended learning
- Virtual
- Study material
- Videos
- Data sets
- Cheat sheets
- Newsletters
Course and certificate fees
Fees information
Deep Learning - TensorFlow Training Fees details
Fee | Amount in INR | ||
Plans | Live Training | Blended Training | Classroom Training |
Course Fee | Rs.34,748 | Rs.19,373 | Rs.58,323 |
certificate availability
certificate providing authority
Eligibility criteria
Education
Candidates willing to get admission in Deep Learning - TensorFlow Training must have prior knowledge of Machine Learning, Basic Python programming, and Statistics.
Certification qualifying details
Deep Learning - TensorFlow training Certification will be issued as a global IABAC certification to those who complete the course and qualify for the exam.
What you will learn
Deep Learning - TensorFlow Training Programme will amplify the deep learning concepts of learners. The following are the different learning outcomes:
- Learn the concepts of deep learning.
- Deal with all the concepts surrounding Tensorflow.
- Discover how Tensorboard visualization is carried out.
- They will get the experience of hands-on coding of neural networks with Tensorflow.
- Learn to apply ML with Tensorflow in a case study.
- Candidates will note how deep learning is different from machine learning.
- Learn about clustering with the K-means concept and application.
- Learners will also discover how to create operators and execute sessions
- They will learn about simple models while applying reinforcement learning in TensorFlow.
Who it is for
The Deep Learning - TensorFlow Training programme is ideally best for candidates who are:
- Data scientists
- Data science professionals
- Analytics professionals
- Professionals who are pursuing Data scientist tracks
Admission details
Deep Learning - TensorFlow Training programme requires candidates to follow the given process for registration-
Step 1: Visit the course webpage and select “Enquire Now.”
Step 2: Enter your details and a counsellor will get in touch with you regarding the further process.
The syllabus
Introduction to Deep Learning
Overview of Machine Learning Concepts
- What is Machine Learning?
- Supervised Machine Learning algorithms
- K-Nearest Neighbors (KNN) concept and application
- Naive Bayes concept and application
- Logistic Regression concept and application
- Classification Trees concept and application
- Unsupervised Machine Learning algorithms
- Clustering with K-means concept and application
- Hierarchical Clustering concept and application
TensorFlow Essentials
- Representing tensors
- Creating operators and executing with sessions
- Introduction Jupyter notebook for TensorFlow coding
- TensorFlow variables
- Visualizing data using TensorBoard
ML Algorithm - Linear Regression in TensorFlow
- Regression problems
- Linear regression applications
- Regularization
- Available datasets
- Coding Linear Regression with TensorFlow - Case study
Deep Neural Networks in TensorFlow
- Basic Neural Nets
- Single Hidden Layer Model
- Multiple Hidden Layer Model
Convolutional Neural Networks
- Introduction to Convolutional Neural Networks
- Input Pipeline
- Introduction to RNN, LSTM, GRU
Reinforcement Learning in Tensorflow
- Concept of Reinforcement Learning
- Simple model applying Reinforcement Learning in TensorFlow
Hands on Deep Learning Application with TensorFlow
- Example Application - Case study
- Hands-on building the Deep Learning application with TensorFlow
How it helps
Given the increasing popularity of TensorFlow in companies like Google, Deep Learning - TensorFlow Training certification benefits learners with real-life projects and industry-led training. Since Tensorflow is now highly preferred for deep learning and machine learning applications, Deep Learning - TensorFlow Training certification course will prove to be advantageous as experts are now switching to TensorFlow for hosting the machine learning (production level) directly to Google Cloud. They will get to use a cloud data science lab with popular platforms like R and Python.
FAQs
DataMites will require learners to pay the fee on the first day of their course but special cases will be considered. Candidates can get in touch with the team at DataMites and ask about the installment plan.
Candidates can appear in exams in both offline or online mode at their convenience.
In case, a candidate wants to withdraw from the programme after making the fee payment, hen he/she is advised to connect with the team of DataMites. The fee refund totally depends upon the approval of management.
The certificate of completion will be received from the DataMites office by showing an ID proof. Alternatively, certificates can be dispatched to their address registered in the exam information sheet.
Ideally, certificates take about 5-7 days to be dispatched.
Candidates have the option to attempt any two projects in the entire course. They can also suggest topics to their mentor.
Candidates will get access to live mentoring, one year access to e-learning portal, all-day round learner assistance, and 10 capstones, and one client project.
Based on their preference, candidates can opt for more than one learning option.
The candidates are requested to connect with their mentor for this. Usually, it is advised to appear for exams within a span of one month of course completion but in case there is an emergency, candidates can update the same with Data Mites.
Certificates can be validated with a unique certification number at IABAC’s portal.