Deep Learning, NLP, Computer Vision

Deep dive into the world of Neural Networks, Linguistics & Image Processing with the pre knowledge of Statistics & Machine Learning

OVERVIEW

This Bootcamp helps you to melt within the molten iron of Machine Learning by learning the skills of Deep Learning, Neural Network, Image Processing, Computer Vision and NLP.

4 Week On_site Coding Camp

120hrs+ Dedicated Mentoring

Stay Together Code Together

40:2 Mentor Ratio

WHAT YOU WILL LEARN

Basic Prep Course (ML)

Python syntax & libraries like Numpy, Pandas, Sklearn, Matplotlib, Statistics & Probability, Linear Algebra, Calculus, Machine Learning Algorithms Dimensionality Reduction Technique (PCA), Accuracy Measurement Techniques.

Deep Learning Introduction

Artificial Neural Network, Perceptron Model, Representation of Logistics Regression, Multi-Layered Perceptron model, Forward Propagation, Backward Propagation, Weight Initialization (Zero Initialization Problem, Random Initialization Problem, He Initialization, Xavier/Glorot Initialization).  

Advanced Deep Learning

Activation Function (Linear, Sigmoid, Tanh, Relu, ELU, Leaky Relu, Softmax, Swish), Vanishing Gradient Problem, Exploding Gradient Problem, Gradient Clipping, Bias, Variance, Regularization (Lasso, Ridge, Dropout, Data Augmentation).

Deep Learning Optimization

Batch Normalization, Optimizer (Gradient Descent, Stochastic Gradient Descent, Mini-Batch Gradient Descent, Momentum, Nesterov Accelerated Gradient, Adagrad, Adadelta, RMSProp, ADAM), Loss Function (Squared Error Loss, Absolute Error Loss, Huber Loss, Binary Cross Entropy, Hinge Loss, Cross Entropy for Multi Classification, Kullback Leibler Divergence Loss).

Tensorflow & Keras

Tensorflow (Basic Syntax, Tensorflow Graphs, Variables, Placeholders, Sessions, Implementation of Regression Problem, Implementation of Classification Problem) & Keras (Data Loading, Preprocessing, Model Building, Model Evaluation, Hyperparameter Tuning). 

Autoencoder

Implementation of Regression & Classification problems using Keras, Autoencoder, Sparse Autoencoders, Denoising Autoencoders, Contractive Autoencoder, Variational Autoencoder, Keras Implementation of Autoencoder and its Variants.

Computer Vision

Image Definition, Grayscaling, Histogram representation of Image, Image Manipulation, Image Transformation, Translations, Rotations, Scaling, Resizing, Interpolations, Cropping, Brighting, Darking, Bit Masking, Blurring, Sharpening, Binarization, Dilation, bErosion, Edge Detection.

Image Segmentation

Segmentation & Contours, Approximating Contours, Matching Contours Shape, Line Detection, Circle Detection, Blob Detection.

Object Detection using OpenCv

Template Matching, Harris Corner Detection, Shi Tomasi Corner Detection,Image Gradient, Canny Edge Detection, Grid Detection ,Contour Detection ,Feature Matching, Watershed Algorithm, Haar Cascade Features, HOG, SIFT, SURF, FAST, BRIEF, ORB, Viola-Jones Algorithm, Integral Image, AdaBoost, Cascading. 

Object Detection using CNN

Region Based CNN, Selective Search Algorithm, Fast Region Based CNN(Fast R-CNN), Faster Region Based CNN(Faster R-CNN), Region Proposal Network (RPN), YOLO, Single Shot MultiBox Detector (SSD), R-FCN, Keras Implementation of Object Detection using R-CNN, YOLO, SSD and F-RCN.

Transfer Learning

Image Classification - CNN (Convolutional Layers, Depth, Stride, Padding, Activation Functions, Pooling Layers, Optimization, Data Augmentation, Flattening), LeNet, GoogLenet, VGG16 & VGG19, ResNet, Inception Network, MobileNet, Transfer Learning, Implementation of TL using Keras.

Object Tracking using OpenCV

Object Tracking using OpenCV (Introduction, Filtering by Color, Background Subtraction, Foreground Subtraction, Optical Flow, Mean Shift Tracking, Camshift Tracking, TDL Tracker, Boosting Tracker, Median Flow Tracker, MIL Tracker, KCF Tracker).

Object Tracking using DL

Stacked Autoencoders and Convolutional Neural Network, Fully Convolutional Network Tracker (FCNT), MD Net, GNet, SNet, Implementation of Object Tracking Techniques. 

Segmentation

Fully Convolutional Networks, Striped Convolution, Transposed Convolution, SegNet, RefineNet, Dilated Convolution, DeepLab, Mask R-CNN, DeepMask, SharpMask, MultiPathNet, Implementation, Implementation of Semantic & Instance Segmentation.

Neural Style Transfer

GANs, Intuition behind GANs, Working of GANs, Image Creation with GANs.

Data Structures & Algorithms

Structures, Pointers, STL, Linked List, Stacks, Queues, Trees, BST, Heaps Number Theory, BitMasking, Dynamic Programming, Graph Theory.

A DAY IN BOOTCAMP !

WHAT HAVE YOU GOTTEN YOURSELF INTO?

Dedicated 12 Hrs a day Mentorship

3 - 4 Hrs Cracking Coding Classes, 3 - 4 Hrs Development Track Implementation Classes, 2 - 3 Hrs of Doubt & Discussion Classes, 2 - 3 Hrs of Collaborative Learning and Peer-Programming

Every Night Online Coding Contest

A competitive environment of super talented coders and platforms helps you in self-evaluation and prepares you to be competent enough.

Development Based 36 Hrs Mentored Hackathons

Hackathons are the most creative and fun way of learning! You get a feel of Team Building, leadership, time management, deadlines and presentation of their skills and product in front of new people.

Comfortable stay, healthy food and Mentorship, all in one place.

This is what separates us from the rest. We just not provide the best learning experience but also care for your well being! From healthy food to comfortable stay (OYO rooms) everything is covered. 24x7 approachable TAs and experienced mentors with customised classrooms.

MENTORS

Code with experienced passionate developers who inculcate the desire to develop, debug and deploy!

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    Worked extensively in fullstack development using JavaScript, React, Nodejs, Golang & Java. Developing the the system around the scalability using AWS, Java, Dockers, Kafka, Kubernetes, Blockchain, etc.
    Madhav Chaturvedi
    Platform Engineer - R&D at Paysafe
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    With the background of Mathematics and Computing, having the imense knowledge in the field of Data Science including Statistics, Machine Learning, Deep Learning, NLP & Computer Vision.
    Rahul Kumar
    Head of Data Science & ML at CodeAsylums
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    Passionate Coder worked in the field of Full stack development (React, React Native, Golang, JAVA, Node, Python), BigData (Hadoop, Spark, Kafka, MapReduce) & DevOps (Linux, Dockers, Kubernetes).
    Rajat Goyal
    Ex-D.E.Shaw, Infra-Tech Engineer at Gojek
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    “Vibrant mentor with extraordinary contributing skills & mindset towards coding and development. Currently working with the Frontend team at Microsoft using JavaScript & React.”
    Rajat Jain
    Software Engineer at Microsoft
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    “A versatile mentor and evangelist who move around the world and train in the field of DevOps, System Design & Blockchain.”
    Anubhav Chaturvedi
    SRE, DevOps, Blockchain Evangelist & Trainer
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    “Data enthusiast who loves to code around the data and the deployment. Covering the scripting, data piplines and system architecture required to develop, scale and deploy the platform.”
    Kajal Singh
    Data Engineer at Amazon
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    “Excellent competitive programmer, extensively code on various platforms like codechef, hackerrank, interview bits, SPOJ, etc. Also a certified coder from codechef.”
    Reshab
    Software Developer at Amazon
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    “Passionate in programming and coding the data structures and algorithms with his great aptitude and attitude towards competitive programming.”
    Nabh Chaoudhary
    Analyst at Goldman Sachs
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    “A guy of Theoritical Computer science and Algorithms who loves to optimize every bit of code. A great mentor who understands the mindset of students towards programming and help them to code their heart out.”
    Aayush Kumar
    SDE - 2 at Amazon
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    “An interactive mentor who is enquisitive to code with people around with the awareness of on going technologies around the world. Currently working as IOs developer in a Ad Network company”
    Iti Agrawal
    Software Developer at InMobi Labs
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    “A great combination of coder and developer who understands the art of coding and development at same place. Worked with NodeJS, JavaScript, Golang, React with great mindset to optimize the code.”
    Satyarth Ojha
    Software Developer at Grab
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    “Empathetic mentor who can produce the zeal of coding in any student sitting in the class. A great coder best with his brainstorming, problem solving and optimizing skills.”
    Aditya Ghosh
    Software Developer at DirectI (Flock)

ADMISSIONS PROCESS.

Rome was not built in a day, niether does the trust. We ensure that the trust you have shown in our bootcamp is maintained and built stronger with time .The excellent standards of counselling throughout the process will make you more confident to choose the right path!

  • Apply online

    A short 5-10 minute application for you to introduce yourself, including your education and coding experience, plus your super powers. You know, the important details that will help us get to know you.

  • Mentor / Alumni Call

    You will be talking to our alumnis and mentors who will be counselling you for the track you have choosed for the course. Also, we want to know about your techskills which will allow us to allocate the best place for you in the bootcamp

  • Prep Modules

    The first step to becoming a developer is laying your foundation with our Prep Modules. You’ll spend on completing online prep which will introduce the basic technologies you’ll use throughout bootcamp. You are required to complete the Prep Modules before your first day of bootcamp.

ALUMNI TESTIMONIALS

Wanna know more about us ? Talk to our alumnis

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    Codeasylums is not just a workshop, it's an experience which changes of concept of learning. The learning atmosphere, the understanding teachers and helping doubt classes motivate you to do your very best and never hesitate to ask doubts.
    Ruchika Tulsyan
    Placed at Microsoft
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    The environment provided by Codeasylums is excellent. Great for college students who are looking to learn new things and utilise their vacations productively. The mentors provide 24*7 guidance. Hackathons are a fun way of implementing.
    Mohak Jain
    Placed at Salesforce
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    The concept of being part of the group 24*7 throughout the span of 30days improves you in all aspects, which is so much more productive than online courses or other off-line courses available in market.
    Mayank Ray Mishra
    Jr. Data Scientist at JAVIS
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    Great place to learn and improve your techy skills ! Great mentors and great community as well. Would definitely recommend!
    Omkar Jai
    Software Engineer at VOGO
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    The experience is totally worth it, and I would definitely recommend it to my juniors, just go there, and experience it.
    Ayushi
    Software Engineer at Microsoft
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    CodeAsylums has been the most incredible experience of my life. I am really glad that I could be a part of the first ever batch. I met new people, brilliant minds and we all are still connected.
    Raunak Agrawal
    Analyst (strats) at Goldman Sachs
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    It provides you a great learning experience with a very friendly environment. All the teachers guides and motivates you throughout the bootcamp and hence this helps you in learning new technologies and building confidence.
    Tannu Bhalotia
    Software Engineer at Intuit
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    It's the best ever bootcamp I have ever attended. The pattern of teaching and the quality mentors and tutors are top notch and it provides a friendly competitive environment of learning.
    Aman Aryan
    Software Developer at Scroll

UPCOMING BOOTCAMP DATES

28 Days Offline Coding Camp.

May 2nd*filling fast
May 9th*filling fast
May 16th*filling fast
May 23rd*filling fast
June 6th*filling fast
June 20th*filling fast
July 4th
Full Stack Web Development + DSA APPLY APPLY APPLY APPLY APPLY APPLY APPLY
Virgin Algorithms + DSA APPLY - APPLY - APPLY APPLY APPLY
Machine Learning + DSA APPLY - APPLY - APPLY APPLY APPLY
Deep Learning, NLP, Computer Vision - - APPLY - - APPLY -
DevOps, BigData & System Design - - APPLY - - APPLY -
Data Analytics, Apti & Case Studies APPLY - APPLY - APPLY APPLY APPLY