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DEEP LEARNING COURSE

3000+ SATISFIED

PARTICIPANTS

PLAY WITH NEURAL NETS ON TENSORFLOW/KERAS

DEEP LEARNING COURSE HELPS YOU TO BUILD YOUR CAREER TO SOLVE MOST INTERESTING PROBLEMS WITH ARTIFICIAL NEURAL NETWORKS. TAKE A SWITCH NOW INTO DEEP LEARNING TO BUILD PLETHORA OF MODELS

 

  1. DNA ANALYSIS

  2. IMAGE RECOGNITION

  3. SELF-DRIVING CARS

  4. VOICE RECOGNITION

  5. COMPUTER VISION

  6. CHATBOTS

  7. HUMANOID ROBOTS  

50+ Case Studies  | 200+ Hours of Training | 80+ Assignments | 50+ Datasets | 3+ Tools | Life-Time E-Learning | EMI Available

BEPEC'S ACHIEVEMENTS

Deep Learning course been one of our flagship course across different chapters and different countries we are operating. Nearly 15-20 people get placed on Deep Learning every month. 

50-80 participants work on Deep Learning projects. 100-150 people join for Deep Learning tutorial with BEPEC.

We're very much glad to share our success stories of our participants on Deep Learning. Please look into few success stories.

ONLINE

80 HOURS OF LIVE MENTOR DRIVEN DEEP LEARNING ONLINE PROGRAM WITH REAL - TIME PROJECT WORK ON DEEP LEARNING FOR 2-3 MONTHS

E-LEARNING

80 HOURS OF RECORDED SESSIONS WITH 10 HOURS OF TRAINER SUPPORT. REAL TIME PROJECT WORK FOR 1 MONTH ON DEEP LEARNING

ONE TO ONE

DEEP LEARNING WILL BE PROVIDED FOR ONE TO ONE CANDIDATES WHO ARE HAVING 10+ YEARS INDUSTRY EXPERIENCE 

Agenda
 
 
Schedule

DEEP LEARNING ONLINE PROGRAM-(2,5TH SEP-2019)

80HRS TRAINING

NO OF TRAINERS

           1

LAPTOPS

REQUIRED

ASSIGNMENTS

           10+

PLACEMENT ASSURANCE

               YES

LIVE PROJECTS                3+

DEEP LEARNING ONLINE PROGRAM-(9,13TH SEP-2019)

80HRS TRAINING

NO OF TRAINERS

           1

LAPTOPS

REQUIRED

ASSIGNMENTS

           10+

PLACEMENT ASSURANCE

               YES

LIVE PROJECTS                3+

DEEP LEARNING ONLINE PROGRAM-(16,21ST SEP-2019)

80HRS TRAINING

NO OF TRAINERS

           1

LAPTOPS

REQUIRED

ASSIGNMENTS

           10+

PLACEMENT ASSURANCE

               YES

LIVE PROJECTS                3+

DEEP LEARNING ONLINE PROGRAM-(23,25TH SEP-2019)

80HRS TRAINING

NO OF TRAINERS

           1

LAPTOPS

REQUIRED

ASSIGNMENTS

           10+

PLACEMENT ASSURANCE

               YES

LIVE PROJECTS                3+

Job Description 

  1. Building DNNs for Object detection, object classification and related problems

  2. Working on real-time data and validate and improve algorithms

  3. Experience on Computer Vision.

  4. Experience on tools like Keras/Tensorflow/Caffe would be plus

  5. Image segmentation/ Video Stabilisation/ Denoising of Image / General Object Detection

  6. Experience on CNNs, RNNs and LSTM are must.

  7. Experience on NLP with Deep Learning is required. 

Job Requirements

 
  1. Demonstrated ability to carry out independent research and lead projects

  2. Experience with computer vision, machine learning, DNNs, and Numerical Optimization

  3. Experience with big data, dataflow, data analytics, cloud storage and associated software tools.

  4. Possess strong oral and written language skills

  5. Present results for internal management and at external venues such as conferences

  6. Experience on Tensorflow/Caffe

 

Learning Path

Level -1: Introduction to Artificial Intelligence

Various Branches in AI, How AI going to change the way we live. Detailed view on various applications of AI & Deep Learning

1. What is Text to Speech, Machine Translation, Robotics, ANNs

2. Understanding on sensors, Raspberry pi and build process.

Level -2: ANN Structure, Building Feed Forward

How ANNs are different from biological neurons. What is meant by Activation function, learning rate, batch size, epoch and loss functions. Comparing Human learning vs Deep Learning

1. Learning about Gradients

2. BackPropagation and Forward Propagation 

Level -3: RNNs for Sequential Tasking; Feel the joy of coding

Deep understanding on building RNNs with the help of Tensorflow and Keras. Importance of LSTM building RNNs with LSTM cells

1. Work on Voice Recognition - RNN Network

2. Construct your own sequential tasking model with Tensorflow or Keras

Level -4: Computer Vision View - CNNs

In computer vision we recognise various human poses in like;

1. Body pose 2. Head Pose 3. Pupil Diameter 4. Face Detection 

5. Face Classification 6. Drowsiness 7. Cognitive Load

1. We Implement CNN's to recognise various poses

2. Know about Strides, padding, conv layer, max pooling e.t.c.

3. Build CNNs on Localised Object Detection

Level -5: Blurred Image to HD Image - Autoencoders

Autoencoders gonna convert noised image into denoised and denoised to noised, Lets make build an AI system which can convert blurred image to hd image

Course Description

 

Deep Learning Engineers with Tensorflow is the course trending all the top MNC's are looking. Deep Learning is utilized broadly in the fields of image recognition, Natural Language Processing (NLP), self-driving cars, and video grouping.

Deep Learning has been started by top companies like Tesla, Audi, Benz, Ford and Google they are involved aggressively in building self-driving cars with the Deep Learning. At present there are very few companies started with Deep Learning Implementation but need for them are much more in future. Pay Scale of a Deep Learning engineer from 38 Lakh/Annum to 50 Lakh/Annum based on Experience.  

Deep Learning Engineer is a blend of Python Programming, Computer Vision, Robotics, Object Detection e.t.c. Learn Deep Learning with various case studies and driven on various tools to make you best and bold on all topics of Deep Learning

Hiring Partners

 
Our Services

20+ TIED UP COMPANIES

JOB SPECIFIC TRAINING

100% JOB SUPPORT

LIFE TIME E-LEARNING ACCESS

MOCK INTERVIEWS

HIGH IN CLASS RESUME BUILDING

LIVE PROJECT EXPERIENCE

  • Facebook

READ INTERESTING ARTICLES, TAKE UP EXAMINATIONS, SEE UPDATED PROJECTS E.T.C.

  • YouTube

CHECK OUR VIDEOS, INTERVIEWS, BEHIND THE CAMERA, WEBCASTS, PANEL DISCUSSIONS E.T.C.

  • Instagram

CHECK ABOUT OUR RECENT ACTIVITIES, EMPLOYEES FUN, STUDENT INTERVIEWS, STAY UPDATED WITH OUR ACTIVITIES 

  • Twitter

ANY QUERIES CHAT WITH US ON TWITTER. POST YOUR Q & A's

Reviews

Shyam

Data Science with R enhanced my knowledge and opened up various jobs

Abhilash

Excellent coding support from BEPEC team

Rupesh

Any person can learn R Programming such a wonderful support

Contact Us

Confused to choose between courses? Our counsellors are available to clarify your doubts and to lead you

Contact Number: 9121516181/9542548626

Visit our Office : Bangalore | Pune | Vijayawada | Mumbai | Hyderabad | Canada | United States

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