Day 1 of 60 Days of Deep Learning with Projects Series
With Projects and Examples…
Welcome back peeps. I’m excited to share that we are starting 60 days of Deep Learning with projects Series along with —
Prerequisite for 60 days of Deep Learning with projects Series —
You should complete 60 days of Data Science and Machine Learning before jumping the ships. You must have a basic knowledge of the Data Science and ML and terms that I’ll be using in series —It covers everything from scratch and will give you a boot up to build a great foundation and projects ( also understand the complex topics).
Complete Data Structures and Algorithm Series
Github —
Projects Videos —
All the projects, data structures, SQL, algorithms, system design, Data Science and ML , Data Analytics, Data Engineering, , Implemented Data Science and ML projects, Implemented Data Engineering Projects, Implemented Deep Learning Projects, Implemented Machine Learning Ops Projects, Implemented Time Series Analysis and Forecasting Projects, Implemented Applied Machine Learning Projects, Implemented Tensorflow and Keras Projects, Implemented PyTorch Projects, Implemented Scikit Learn Projects, Implemented Big Data Projects, Implemented Cloud Machine Learning Projects, Implemented Neural Networks Projects, Implemented OpenCV Projects,Complete ML Research Papers Summarized, Implemented Data Analytics projects, Implemented Data Visualization Projects, Implemented Data Mining Projects, Implemented Natural Leaning Processing Projects, MLOps and Deep Learning, Applied Machine Learning with Projects Series, PyTorch with Projects Series, Tensorflow and Keras with Projects Series, Scikit Learn Series with Projects, Time Series Analysis and Forecasting with Projects Series, ML System Design Case Studies Series videos will be published on our youtube channel ( just launched).
Subscribe today!
Tech Newsletter —
If you are interested, you can join my newsletter through which I send tech interview tips, techniques, patterns, hacks — Software Development, ML, Data Science, Startups and Technology projects to more than 30K readers. You can subscribe to Tech Brew :
Solved System Design Case Studies — In depth
Design Instagram
Design Netflix
Design Reddit
Design Amazon
Design Messenger App
Design Twitter
Design URL Shortener
Design Dropbox
Design Youtube
Design API Rate Limiter
Design Web Crawler
Design Amazon Prime Video
Design Facebook’s Newsfeed
Design Yelp
Design Uber
Design Tinder
Design Tiktok
Design Whatsapp
Most Popular System Design Questions
Mega Compilation : Solved System Design Case studies
Advanced SQL Series
Day 2 : SQL Basics, Query Structure, Built In functions Conditions
Day 4 : Set Theory Operations, Stored Procedures and CASE statements in SQL
Day 6 : Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions
Day 7 : Window Functions, Grouping Sets and Constraints in SQL
Day 8 : BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery
Day 9 : Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases
Day 10 : Triggers, Pivot and Cursors in SQL
Day 14 : MySQL in Depth
Day 15 : PostgreSQL inDepth
Goal
Let’s set a clear objective.
The goal is to develop an intuition and understand (in the depth) the practical side of Deep Learning and build projects/applications.
I have created a GitHub repo for this series where we will be maintaining our code.
Tools
We will be using Google Colabs and Jupyter Notebooks ( based on our requirement).
Let’s talk about what are we going to cover in this series —
Let me be very straightforward. Deep learning is a vast field and to be able to cover everything isn’t the aim of this series; instead, it will be more hands on than digging down the theory rabbit hole.
We will be covering —
1. Deep Learning Basics
2. Programming and Data
Exploratory Data Analysis
ETL process
Shell programming and Automation
3. Neural Networks
Neural Networks basics
Different types of neural networks
Linear Classifiers
Optimization
Hyper Parameter Tuning
Gradient Descent
Backpropagation Algorithm
Regularization — L2 and dropout regularization
Batch normalization
Build a neural network in Keras
Build a Neural Network With Pytorch
Build a neural network in TensorFlow
Train Neural Networks
Feedforward neural network
Popular Optimization Algorithms
Activation Functions
Strategies for reducing errors
Shallow Neural Networks
4. Convolutional Neural Networks
Convolution basics and CNN Architectures
Residual networks
Build a Convolutional Network
Batch Normalization and Dropout
5. Recurrent Neural Networks
RNN Basics
LSTM: Long Short Term Memory Cells
Natural language processing and Word Embeddings
6. Tensorflow
Tensorflow basics
Tensorflow Playground
Custom Loss Functions
Custom Layers and Models
Callbacks
Distributed Training
Data Pipelines with TensorFlow Data Services
Performance
7. Autoencoders
Autoencoders Basics
Generative Learning
8. Generative Adversarial Networks
Generative Adversarial Networks Basics
Useful activation functions and Batch normalization
Transposed convolutions
Generator and Discriminator
Deep Convolutional Generative Adversarial Networks
Implement Generative Adversarial Networks
9. Attention and Transformers
Attention and Transformers Basics
Sequence to Sequence Models
Attention
Multi-Head Self-Attention
Building Blocks of Transformers
Encoder
Decoder
Parameters Sharing
Build a Transformer Encoder
10. Graph Neural Networks
Basics of Graphs
Graph Convolutional Networks
Implement — Graph Convolutional Network
11. Natural Language Processing
Natural Language Processing Basics
Probabilistic Models
Sequence Models
Attention Models
12. Federated learning
13. MLOps
14. Research Papers
Some amazing research papers- Deep Learning that I have read over the years to help you boot up to the industry standards and what’s next in this field.
That’s it for now! Tighten your belt and get ready to take a deep dive because Day 2 is Coming soon!
Subscribe/ Follow and Stay Tuned!!
Advanced SQL Series
Day 2 : SQL Basics, Query Structure, Built In functions Conditions
Day 4 : Set Theory Operations, Stored Procedures and CASE statements in SQL
Day 6 : Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions
Day 7 : Window Functions, Grouping Sets and Constraints in SQL
Day 8 : BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery
Day 9 : Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases
Day 10 : Triggers, Pivot and Cursors in SQL
Day 14 : MySQL in Depth
Day 15 : PostgreSQL inDepth
Anyways, For Day 15 of 15 days of Advanced SQL, we will cover —
PostgreSQL inDepth
Github for Advanced SQL that you can follow —
30 days of Data Analytics Series —
Day 1 : Data Analytics basics and kickstart of Data analytics with projects series
Day 3 : Data Analytics Ecosystem — Data Life Cycle, Data Analysis complete process ( most important things)
Day 5 : Statistics
Day 6 : Basic and Advanced SQL
Day 8 : Pandas and Numpy
Day 9 : Data Manipulation
Day 10 : Data Visualization — Part 1
Day 11 : Project 1 : Data Visualization — Part 2
Day 12 : Data Visualization — Part 3
Day 13: Tableau — Part 1
Day 14: Tableau — Part 2
Day 15: Tableau — Part 3
Day 16 : Data Analysis Project 2
Day 17 : Data Analysis Project 3
Day 18: Data Analysis Project 4
Day 20 : Data Analysis Project 6
Day 21 : Data Analysis Project 7
Take Complete Hands On Tableau Course : Link
All the projects, data structures, algorithms, system design, Data Science and ML, Data Engineering, MLOps and Deep Learning videos will be published on our youtube channel ( just launched).
Subscribe today!
System Design Case Studies — In Depth
Complete Data Structures and Algorithm Series
Github —
Some of the other best Series —
How to solve any System Design Question ( approach that you can take)?
30 days of Data Structures and Algorithms and System Design Simplified
Data Science and Machine Learning Research ( papers) Simplified **
100 days : Your Data Science and Machine Learning Degree Series with projects
Complete Data Visualization and Pre-processing Series with projects
Exceptional Github Repos — Part 1
Exceptional Github Repos — Part 2
Tech Newsletter —
If you are interested, you can join my newsletter through which I send tech interview tips, techniques, patterns, hacks — Software Development, ML, Data Science, Startups and Technology projects to more than 30K readers. You can subscribe to Tech Brew :
System Design Case Studies — In Depth
Design Instagram
Design Messenger App
Design Twitter
Design URL Shortener
Design Dropbox
Design Youtube
Mega Compilation : Solved System Design Case studies
Complete Data Structures and Algorithm Series
Github —
All the Complete System Design Series Parts —
6. Networking, How Browsers work, Content Network Delivery ( CDN)
Github —
Keep learning and coding :)
For Python Projects —
For complete 60 days of Data Science and ML : Day 1 — Day 60 : Quick Recap of 60 days of Data Science and ML
Follow for more updates. Stay tuned and keep coding! Disclosure: Some of the links are affiliates.
For other projects, tune to —
Build Machine Learning Pipelines( With Code)
Recurrent Neural Network with Keras
Clustering Geolocation Data in Python using DBSCAN and K-Means
Facial Expression Recognition using Keras
Hyperparameter Tuning with Keras Tuner
Custom Layers in Keras
