During this Interactive Live training on Advanced Machine Learning you will learn to make Algorithms in Python from our Machine Learning & Data Science experts who are highly sought after skills in tech and gets the hands-on experience which will prepare and equip you with the in-demand skills required to become a successful AI practitioner.
You will be practicing all the applications on Python, TensorFlow & the tools which our experts will be teaching you. After finishing this specialization, you will likely find creative ways to apply it to your work & add the certification to your professional portfolio to attract future employers.
You’ll understand how to build neural networks
You’ll learn how to lead machine learning projects.
You’ll implement deep neural network for the task of image captioning.
You’ll build, train, and deploy different types of deep learning architectures.
You’ll understand the algorithms in detail.
You’ll also use Keras, Python, TensorFlow, Jupyter & Anaconda to develop, train, load and test the Deep Learning models.
You’ll develop intuition about the logics making all the magic happen.
After establishing a reputable Physical Training Model, based on our stellar records and customer earned trust we gradually progressed to establish the same reputation in the Live Training Model. We are committed to empower you by making our trainings accessible, interactive, and well curated specifically to your objective.
20th February 2021
11:00 AM – 3:30 PM
Meet the trainer of this course who is Deep Learning expert!
Below is the detailed outline with weekly themes
|Interactive Discussions on Assignment|
|Types of Variables|
|Data Visualizations (Scatter plot, Histogram, Bar plots, Line plots, Heat maps)|
|Data Centricity (Mean, Modes, Median, STD, Variance, Interquantile Range).|
|Data Transformation (Log, Natural Log, Min Max )|
|Data Cleaning in Python|
|Visualization on Matplotlib|
|Basics of Data Science Flow|
|Intro to Jupyter Notebook|
|Intro to Python|
|Python Objects & Data Structure|
|Subsetting (Strings, Lists, Dictionaries)|
|Python Comparison Operators|
|Methods & Functions|
|Importing Data in Python|
|Pandas Basics in Python|
|Subsetting Dataframes in Pandas|
|Data Aggregation using Group By, Pivot, and Melt|
|Hands-On Assignment of Python|
|Introduction to Deep Learning|
|Applications of Deep Learning in Industry|
|Python for Deep Learning|
|Numpy for Deep Learning|
|Basic Neural Network|
|Optimization with Gradient Descent|
|Forward & Backward Propagation|
|Shallow Neural Networks|
|Deep Neural Networks|
|Neural Networks Mathematics|
|Hyper parameter Tuning – part 1|
|Credit Scoring with Deep Learning|
|Bias & Variance|
|Image Classification with Deep Learning|
|Hyperparameter Tuning – part 2|
|Regularization (L1, L2, Dropout)|
|Deep Learning Strategy for Practical Problems|
|Convolutional Neural Networks & Implementation|
|AlexNet, Inception, VGG and CNN architectures|
|Anchor Boxes & YOLO Algorithm|
|Gestures/Emotions classification with Landmarks|
|One Shot Learning|
|Detection & Recognition|
|Recurrent Neural Networks|
|Long Short Term Memory (LSTM)|
|Disease Prediction using ECG|
|Generative Adversarial Network|
|Deep Convolutional GANs|
|PIX2PIX & Cyclegan|
Following is price for this extensive training on Deep Learning
Recent graduates, third year and final year students from the computer science disciplines.
Professionals from the computer science domain who want to shift the profession to Deep Learning.
Executives who want to build the initial knowledge about the impact of the Artificial Intelligence on organization growth.
Duration: 8 weeks
Class Days: Saturdays & Sundays
Timings: 11:00 AM – 03:00 PM
Since our instructors are industry experts so they do train the students about practical world and also recommend the shining students in industry for relevant positions.
Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.
Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.
For Deep Learning Professional course, you need to have Minimum Core i3 PC, 4th Generation with 4GB RAM – 8GB RAM.
This course will equip working professionals with the best practices and actionable knowledge needed to put you and your organization at the forefront of the AI revolution and Deep Learning!
This hands-on program will prepare and equip students with the in-demand skills required to become a successful AI practitioner and start a career in the growing and lucrative field of deep learning.
You can reserve your seat by filling the form below!