Deep Learning

Deep Learning Training In Mumbai | TryCatch Classes

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Are you looking for the Best Deep Learning Institute In Mumbai? TryCatch Classes is the best DL classes in Borivali, Mumbai. Learn to create Deep Learning Algorithms in Python from Data Science experts with private one-on-one classroom Deep learning training in Mumbai.



  • Master Deep Learning on Python.
  • Make accurate predictions.
  • Make powerful analysis.
  • Build an attention model.
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning.
  • Build a text classification system (can be used for spam detection, sentiment analysis, and similar problems).
  • Build a sequence-to-sequence (seq2seq) model.
  • Build a neural machine translation system (can also be used for chatbots and question answering).



In order to learn Deep Learning, here is the list of prerequisites you need to know:

    • Basic Knowledge of Python is helpful.
    • Some prior coding or scripting experience is required.
    • At least high school level math will be required.
    • Preferable to understand word embeddings.



Here is the course module for Deep Learning:

Deep Learning Development Course Content

Module 1:
Introduction to Machine Learning (ML)
  • What is Machine Learning ?
  • Use Cases of Machine Learning.
  • Types of Machine Learning – Supervised to Unsupervised methods.
  • Machine Learning workflow.
Module 2:
Statistics for Data Science
  • Common charts used.
  • Inferential Statistics.
  • Probability, Central Limit theorem, Normal Distribution & Hypothesis testing.
Module 3:
Data Visualization
  • Plotting basic statistical charts in Python.
  • Data visualization with Matplotlib.
  • Statistical data visualization with Seaborn.
  • Interactive data visualization with Bokeh.
Module 4:
Exploratory Data Analysis
  • Introduction to Exploratory Data Analysis (EDA) steps.
  • Plots to explore relationship between two variables.
  • Histograms, Box plots to explore a single variable.
  • Heat maps, Pair plots to explore correlations.
Module 5:
Data Preprocessing
  • Preprocessing techniques like missing value imputation.
  • Encoding categorical variables.
  • Scaling, Too many nulls, Same values/skew.
  • Data types, Missing value imputation.
  • When column doesn’t have missing values.
  • Categorical Attributes, Related Attributes.
Module 6 :
Deep Learning ( Neural Networks )
  • Introduction to Neural networks.
  • What are Perceptrons & Types of Perceptrons?
  • Artificial Neural Networks (ANN).
  • Convolutional Neural Network (CNN).
  • Natural Language Processing (NLP).
  • Transfer Flow.
  • Scikit – learn.
  • YOLO – Real time object detection with OpenCV.
  • Workflow of a Neural network & analogy with biological neurons.
  • Project:
    • Apply computer vision for digit recognition on MNIST data.

We offer unique placement assistance in Deep Learning Training and that is why we are the no 1 Deep Learning training classes in Mumbai. At TryCatch Classes, we provide interview questions and prepare you for the interview as well. So you’ll get the best placement assistance for Machine Learning.


At the end of theDeep Learning course in Mumbai, you will get a Certification from us which will be very helpful for you in your future. Our certification is valid everywhere on the globe because we are the best Deep  learning training institute in Mumbai.


TryCatch Classes has been awarded multiple times as the “Most Promising Software Training Institute in Maharashtra” and “Social Impact Award for Outstanding Contribution to Indian Education System” at Education several Award functions.



TryCatch Classes provides the best Deep Learning Training in Mumbai. Along with Deep Learning Training Course, you can also learn,

  1. Python Training in Mumbai.
  2. R Training in Mumbai.
  3. Machine Learning(R) Training Course.
  4. SAS Training.
  5. Tableau Training.
  6. Data Science Training

If you are looking for a successful career in Deep Learning, we invite you to visit our training facility or contact us:

9664545072 / 9930112627.