DEEP LEARNING SUMMER INTERNSHIP PROGRAM IN GUNTUR

  • DEEP LEARNING

COMPLETE TRAINING ON TECHNOLOGY | PROJECT DEVELOPEMENT


Training Fee

Rs.6500 /-

May June July

Register Now

Contact Us

MANOJ: +91 9676190678

HYDERABAD

407, 4th Floor, Pavani Prestige (R.S Brothers)Building, Ameerpet, Hyderabad, India Opposite Image Hospital & Beside KLM Fashion Mall.

About Deep Learning

Opportunity is a chance that comes knocking on our door every now and then, and it is up to us to recognise it and make the best of it. We consider ourselves fortunate when opportunity and preparation come together. However, we should not wait for opportunities because they are nearly indistinguishable and arrive in a variety of shapes and sizes. “Don’t wait for extraordinary opportunities,”. Take ordinary occasions and turn them into extraordinary ones. Join Tru Projects to create extraordinary internship Training. Don’t bit your nails now the services are available near to your home towns in Guntur (Sattenapalle, Tadepalle, Tenali, Ponnur, Bapatla, Repalle, Narasaraopet, Chilakaluripet, Macherla, Piduguralla, Brodipet), Narsaraopeta , Ongole , Nellore.

Then look at Deep Learning Internship in Guntur at Tru Projects. Deep Learning will automate activities that the majority of people believed could only be done by humans.
The best Online Summer Internship Programs Deep Learning in Guntur and planning to create a fleshed-out profile in your resumes?  Hey hurry up then! Tru Projects offers the Summer Internship Program in Deep Learning in Guntur to help you improve your practical skills. Students are often anxious to Deep Learning Summer Intern because they are concerned that their Deep Learning Summer Internship 2023 for Freshers in Guntur would be filled with uninteresting activities for little or no pay. Despite the fact that not all internships pay in financially, some do pay in other ways. A Summer Internship on Deep Learning in Guntur offered by Tru Projects gives you the foundation for a successful career.

Beginners can gain real-world experience and exposure through research internships, as well as gain hands-on experience working in the real world. The internship has a learning curve for students with little professional experience. They gain experience working on real projects, communicating with various teams and clients, and gaining a deeper grasp of Internship. Internship Certification allows you to put your knowledge to the test while also learning workplace interpersonal skills, which can help you land a job.

Deep Learning Internship for B Tech Students in Guntur Enhances the soft skills, corporate etiquette, attending numerous training sessions, how to conduct oneself in a Deep Learning Internship for students 2022 in Guntur, hands-on experience with Real Time Deep Learning Summer Intern 2023 in Guntur, knowing the sector and organization, current industry trends, and more in Deep Learning Internship Online in Guntur.

 Deep Learning Summer Camp Program in Guntur allow you to expand your professional network in the following ways: A Deep Learning Summer Training in Guntur helps you to meet individuals from different walks of life and broaden your contacts, which is a crucial part of job growth. As a Deep Learning Online Intern Summer 2023 you will have additional opportunity to form relationships with corporate personnel that you may utilise later in your career with Summer 2022 Deep Learning in Guntur at Tru Projects.

A Summer Internship is a fantastic method to learn about different careers with Certification Internship. Because it usually does not require prior experience, it is easier to get than full-time work in firms. When it comes time to look for a full-time job after interning, you will be a more desirable candidate than your contemporaries by attending Deep Learning Online Intern Summer 2022 in Guntur. Employers care more about your work experience than your academic qualifications. Before entering the job, the best internships allow you to put specific teaching approaches to the test. Instead of learning the hard way in your first job after college, an internship allows you to put what you’ve learned into practise in a safe environment where mistakes are expected. Internships provide you with the opportunity to shift from student to full-time employee. Graduating and immediately starting a new career might be difficult at times in Final Year Deep Learning Internships for btech in Guntur. At Internship, not every employer is capable of mentoring new employees. If you are unable to change quickly, it might be disastrous. Employers are often looking for applicants who can transition from student to full-time work with little or no training. Many firms may offer interns a full-time employment if they have gained all of the essential skills and are contributing to the organisation in Real Time Deep Learning Summer Intern 2022 in Guntur. They don’t want to let go of you since you’re a solid investment for the Technical Internship in Guntur.

 At a real-time summer internship, identifying your areas of interest is a various functions and specialties exist in each business. You will learn numerous information about the Online Internship Program so that you can make a more informed career choice. Within your major Programming Internships, the Intern Program will assist you in identifying your areas of interest. Our Deep Learning Summer Internship 2022 Students in Guntur is meant to assist students learn about the many industries throughout the world and how they might fit in. An intern is a student who works for a development firm for a defined period of time, usually between semesters or concurrently with them. Not everyone will have an internship for six months or a year to get the essential work experience for a job directly after graduation. Internship Program are more likely to be intensive and concentrated. Summer internship on Deep Learning for ECE Students in Guntur are appropriate for students in their last year of graduation.

Internships in their last year help students figure out what areas of interest and ability they have Deep Learning Online Internship in Guntur. And our Deep Learning Online Summer Internship Course in Guntur are a terrific way to get them started. We not only give training at our school, but we also provide a Deep Learning Internship for CSE Students in Guntur who have completed their certificate, which adds a lot of value to their profile when applying for higher education and jobs. If you want to be a part of any sector in our ever-changing world, you should always be on the lookout for Research Summer Intern Deep Learning in Guntur.

 Deep Learning Internship for ECE Students in Guntur are a terrific opportunity to get real-world experience and insight into a sector you’re interested in. If you’re a student or just starting out in your profession, a Final Year Deep Learning Internships in Guntur can provide you with the necessary experience to prepare you for full-time employment. Final Year Deep Learning Internships for ece in Guntur can be paid or unpaid, with some unpaid internships providing additional perks like college credit. Paid internships are becoming increasingly prevalent, as opposed to the conventional internship paradigm, which involves labour in return for experience rather than compensation.

Summer internship on Deep Learning for B Tech Students in Guntur or Deep Learning Final Year Summer Internship in Guntur may be available depending on aspects such as industry or professional, role duties, experience necessary, internship length, and inclusion of class credit.

Deep Learning Internship Certificate in Guntur can last anything from three months to two years. Internship for Freshers are not appropriate in some fields, such as fashion or editorial, because they do not provide enough time for the intern or the company to profit. Deep Learning Summer Internship 2022 for Freshers in Guntur provide additional depth in the workplace. Paid Internship Deep Learning Summer Online in Guntur allows you to polish your talents as you work on larger projects for longer periods of time, and become a more valuable member of the team in Tru Projects.

 Summer internship on Deep Learning for CSE Students in Guntur might be advantageous even for a seasoned worker considering a career shift Deep Learning Summer Online Internship Course in Guntur. Internships Courses for Students have soft talents such as teamwork and leadership. Technical skills and industry expertise, on the other hand, are required before entering a new area of Summer 2023 Deep Learning Internship in Guntur.

Without a doubt, Tru Projects offers the greatest summer internship on Deep Learning for ECE Students in Guntur accessible. We are committed to helping the students to have fun while learning and in trainings. You can come to us if you need training since our team are teachers with years of expertise in a number of industries in Internship certification. The Deep Learning Internship Online 2022 will help students comprehend the whole software development life cycle (SDLC). With the internships you will be able to comprehend the entire process of generating software in your own unique way in Tru Projects.

Working with us might lead to you becoming a Freshers Summer Deep Learning Internship in Guntur. The internships were designed with students in mind who want to study or work in this profession. Summer Intern can be transformed into one of the best summer internships accessible, which is particularly beneficial to younger students.

The summer Training will be adapted to their specific needs. The research Internships will allow students to study the domains at their own speed because we recognise that each student has distinct goals. Many working professionals look forward to having a Deep Learning Internship for Computer Science Students in Guntur when they want to change their job position and try something new. Please feel free to contact us.

Internship Tracks

Deep Learning

Day - 1: Introduction to Machine Learning & Deep Learning
Introduction to Deep Learning.
Diffenrence between Machine and Deep Learning
How Deep Learning Useful in Daily Life
Deep Learning Goals and Deliverables.
Why Deep Learning
Deep Learning Tools.
Programming Essentials
Day - 2: Introduction to Python
1.Introduction to Python
2.Anaconda Installation and Introduction to Jupyter Notebook
Day - 3: Python Basics
1. Data Structures in Python (Lists, Tuples, Dictionaries, sets)
Day - 4: Python Baiscs
1.Loops, conditional arguments, Comprehensions, Inbuilt functions , string manipulation etc.
Day - 5: Python Baiscs
Day - 6: Python for Data Science - Numpy
1. Introduction to Numpy.
2. Operations in Numpy
Day - 7: Python for Data Science - Pandas
1. Introduction to Pandas.
2. Operations in Pandas – Pandas Basics, Indexing and selecting Data,Merge and Append, Grouping and Summarizing, Lambda functions and Pivot tables
3. Introduction to Reading.
Day - 8: Python for Data Science - Matplotlub
1. Introduction to Matplotlib.
2. Types of plots with Examples
Day - 9: Introduction to SQL
1. Introduction to Database design, OLAP vs OLTP, Star Schema etc.
2. Basics of SQL, Data Retrieval, sorting, compound functions and relational operators, pattern matching with wild cards.
3. Basics on Table creation, updating, modifying etc.
4. Overall Structure of data retrieval queries, Merging tables, User Defined Functions (UDF), Frames.
Statistics & Exploratory Data Analysis (EDA)
Day - 10: Introduction to Data Analytics
1. Business and Data Understanding
2. CRISP-DM Framework – Data Preparation, Modelling, Evaluation and Deployment
Day - 11: Data Visualization in Python
1.Introduction to visualization and Importance of Visualization
2. Introduction to various charts
3. Data visualization toolkit in Python (Libraries or modules available in Python)
4. Plotting Data in Python using matplotlib and seaborn – Univariate Distributions, Bi-variate Distributions
5. Plotting Time series data
Day - 12: Exploratory Data Analysis
1. Introduction to Data Sourcing and various sources available for data collection
2. Data Cleaning – Fixing rows and columns, Missing value Treatment, standardizing values, handling invalid values, Filtering data
3. Data types – Numerical, Categorical (ordered and unordered)
4.Derived Metrics and Feature Engineering
5. Identify Outliers and Handling
Day - 13: Inferential Statistics
1. Introduction to inferential statistics – basics of probability, Random Variables, Expected value, Probability Distributions
2. Discrete and Continuous Probability Distributions
3. Central Limit Theorem – Introduction and Industrial applications
Machine Learning - I
Day - 14: Introduction to Machine Learning
1. Introduction to Machine Learning – Supervised and Unsupervised learning Methods
2. Simple Linear Regression
3. Multiple Linear Regression
Day - 15: Logistic Regression
1. Introduction to Classification
2. Binary classification using univariate logistic regression
3. Maximum Likelihood function, Sigmoid Curve and Best Fit
4. Intuition of odds and log-odds
5. Feature selection using RFE
6. Model evaluation – Confusion Matrix and Accuracy
7. Why Accuracy is not Enough and introduction to sensitivity, specificity, precision, recall, area under curve
8. Logistic Regression Case Study
Day - 16: unsupervised Learning:Clustering
Means Clustering:
1. Understanding clustering with practical examples
2. KMeans Clustering – understanding the algorithm
3. Practical consideration for KMeans Clustering – Elbow curve, silhouette metric and hopkings test for clustering tendency of data, impact of outliers
Hierarchical Clustering:
1. Hierarchical clustering Algorithm
2. Interpreting the dendogram and Types of Linkages
3. Comparison of Kmeans clustering and Hierarchical clustering – advantages and disadvantages
Machine Learning - II
Day - 17: Support Vector Machine Algorithm
SVM:
1. Introduction to SVM and How does it works.
2. Advantages and Disadvantages of SVM
3. Kernal Functions in used in SVM
4. Applications of SVM
5. Implementation of SVM using Python
Day - 18: K Nearest Neighbors and Naive Bayes Algorithm
KNN:
1. Introduction to KNN and How does it works.
2. Advantages and Disadvantages of KNN
3. Applications of KNN
4. Implementation of KNN using Python
Naive Bayes:
1. Intoduction to Naive Bayes
2. Advantage and Disadvantage of Naive Bayes
3. Applications of Naive Bayes
4. Implementation of Naive Bayes using Python
Day - 19: Tree Models
Decision Trees:
1. Introduction to decision trees and Interpretation
2. Homogeneity measures for splitting a node 1. Gini Index 2. Entropy 3. R2
3. Understanding Hyper parameters – Truncation and Pruning
4. Advantages and Disadvantages
Random Forest:
1. Introduction to ensembling, bagging and intuition
2. Random Forest – Introduction and Hyperparamters
3. Building a model using Random Forest
4. Hyper-parameters impact on model and tuning them
5. Importance of predictors using Random Forrest
Day - 20: Deep Learning
Introduction to Deep Learning
Day - 21: Introuction
1. Evolution of Deep Learning from Artificial Intelligence and Machine Learning
2. Understanding Deep Learning with the help of a case study.
3. Explore the meaning, process, and types of neural networks with a comparison to human neurons
4. Identify the platforms and programming stacks used in Deep Learning
Day - 22: Perceptron
1. Artificial neurons with a comparison to biological neurons.
2. Implement logic gates with Perceptron.
3. Sigmoid units and Sigmoid activation function in Neural Network
4. ReLU and Softmax Activation Functions.
5. Hyperbolic Tangent Activation Function
Day - 23: Artificial Neural Network
1. Understand how ANN is trained using Perceptron learning rule.
2. Implementation of Adaline rule in training ANN.
3. Minimizing cost functions using Gradient Descent rule.
4. Analyze how learning rate is tuned to converge an ANN.
5. Explore the layers of an Artificial Neural Network(ANN).
Day - 24: Multilayer ANN
1. Regularize and minimize the cost function in a neural network
2. Backpropagation to adjust weights in a neural network.
3. Inspect convergence in a multilayer ANN
4. Implement forward propagation in multilayer perceptron (MLP)
Day - 25: Introduction to TensorFlow
1. Introducntion to TensorFlow
2. Create a computational and default graph in TensorFlow
3. Implement Linear Regression and Gradient Descent in TensorFlow.
4. Application of Layers and Keras in TensorFlow
5. Uses of TensorBoard
Day - 26: Training Neural Networks
1. Initialization Backpropagation
2. Optimization & hyperparameters.
3. Solutions to speed up neural networks
4. Regularization techniques to reduce overfitting
Day - 27: Convolutional Neural Networks
1. Introduction to CNN and Their Applications
2. Implementation of CNNs within Keras
Day - 28: Convolutional Neural Networks
1. Process of convolution and how it works for image Classification.
2. Zero padding works with variations in kernel weights
3.Elaborate the pooling concepts in CNNs
Day - 29: Applications of CNN
1. Object detection using CNN
2. Dense Pridiction
Day - 30: Recurrent Neural Networks
1. Introdunction Recurrent Neural Networks (RNN).
2. Understand the working of recurrent neurons and their layers.
3. Interpret how memory cells of recurrent neurons interact
4. Implement RNN in Keras
5. Demonstrate variable length input and output sequences
Day - 31: Recurrent Neural Networks
1. Introduction to LSTM
2. Implmentation of LSTM RNN using Keras ,
3. Introducntion to GRU and Implementation uisng Keras
4. Introdunction Encoder, Decoder architectures
Day - 32: Memory Models/Networks
1. Introdunction to memory models.
2. Introdunction to Dynamic memory networks
3. Introduction to Image Genrative Models
4. GANs, CycleGAN Algotithms
Day - 33: Computer Vision
1. Image segmentation, object detection, automatic image captioning, Image generation with Generative adversarial network
2. Video to text with LSTM models. Attention models for computer vision tasks.
Day - 34: Natural Language Processing
1. Introduction to NLP
2. Vector Model Space models of Semantics
3. Word Vector Representation
4. Skip Gram Model
5. Bag of Words Model
Day - 35: Natural Language Processing
1. Glove, Evaluation
2. Applications in word similarity and analogy Recognition
3. Named Entity Recognition.
4. Opinion Mining using RNN
5. Parsing and Setiment Analysis using RNN
6. Sentence Classification using CNN
Day - 36: Project Development
Day - 37: Project Development
Day - 38: Project Development
Day - 39: Project Development
Day - 40: Project Development
Day - 41: Project Development
Day - 42: Project Development
Day - 43: Project Development
Day - 44: Project Development
Day - 45: Project Development

Pin It on Pinterest

Call Now Button