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Deep Learning for Everyone - 2023 - Tensorflow Updated

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Manifold AI Learning ®

10:01:26

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  • 001 Introduction to Deep Learning 101.mp4
    03:20
  • 001 Artificial Neural Networks.mp4
    05:30
  • 002 Activation Function.mp4
    03:46
  • 003 Bias.mp4
    03:16
  • 004 Data.mp4
    05:17
  • 005 Applications of Data.mp4
    02:58
  • 006 Models.mp4
    03:50
  • 007 Loss Functions.mp4
    04:35
  • 008 Learning Algorithms & Model Performance.mp4
    04:11
  • 001 Getting System Ready - Jupyter Notebook.mp4
    08:09
  • 002 Accessing Google Colab Notebook.mp4
    01:09
  • 003 Download Materials.html
  • 003 Python-Crash-Course.zip
  • 004 Python Basics - Data Types.mp4
    12:12
  • 005 Python Basics - Containers in Python.mp4
    06:40
  • 006 Control Statements Python if..else.mp4
    04:49
  • 007 Python Control statments - While and For.mp4
    05:11
  • 008 Functions & Classes in Python.mp4
    12:23
  • 001 Numpy Part 1.mp4
    08:24
  • 002 Numpy Part 2.mp4
    12:24
  • 003 Numpy Part 3.mp4
    07:16
  • 004 Pandas in Python - Pandas Series.mp4
    07:25
  • 005 Pandas Data Frame.mp4
    08:35
  • 006 Pandas Data frame - cleaning & Examining the data.mp4
    12:40
  • 007 Plotting with Matplotlib.mp4
    10:22
  • 008 Contour Plots.mp4
    04:25
  • 001 MP Neuron Introduction.mp4
    06:40
  • 002 Intuition of data.mp4
    04:07
  • 003 Loss & finding parameters.mp4
    01:40
  • 004 Mathematical Intuition.mp4
    07:45
  • 001 Deep-Learning-MP-Neuron.zip
  • 001 Download Materials.html
  • 002 MP Neuron - Data import.mp4
    08:49
  • 003 Train Test Split.mp4
    05:35
  • 004 Modify Data.mp4
    05:20
  • 005 MP Neuron in Python.mp4
    07:38
  • 006 MP Neuron Class.mp4
    04:16
  • 007 Assignment for MP Neuron in Python.html
  • 007 MP-Neuron-Assignment.zip
  • 001 Summary of MP Neuron.mp4
    02:10
  • 001 Perceptron.mp4
    01:44
  • 002 Perceptron Model and its representation.mp4
    04:08
  • 003 Loss function & Parameter Update.mp4
    07:11
  • 004 Why Update Rule Works.mp4
    08:12
  • 005 Update Rule in Programs.mp4
    03:21
  • 001 Download Materials.html
  • 001 Perceptron-Implementation.zip
  • 002 Perceptron in Python.mp4
    10:27
  • 003 Visualize the Accuracy with epochs.mp4
    07:21
  • 004 Perceptron Assignment.html
  • 004 Perceptron-Assignment.zip
  • 001 Download Materials.html
  • 001 Sigmoid-Neuron-Intuition.zip
  • 002 Percepron Limitations.mp4
    03:43
  • 003 Sigmoid Neuron Introduction.mp4
    05:26
  • 004 Sigmoid Neuron Data.mp4
    01:38
  • 005 Sigmoid Intuition.mp4
    04:20
  • 006 Manual fitting of data.mp4
    07:28
  • 007 Gradient descent.mp4
    05:50
  • 008 Program overview.mp4
    02:56
  • 009 Program in Python.mp4
    15:13
  • 001 Download Materials.html
  • 001 Sigmoid-Neuron-Heart-Disease-dataset.zip
  • 002 Download Dataset.mp4
    02:44
  • 002 heart-disease-uci.zip
  • 003 Data Standardization -1.mp4
    10:19
  • 004 Data Standardization - 2.mp4
    07:46
  • 005 Class Sigmoid.mp4
    08:18
  • 006 Sigmoid Assignment.html
  • 006 Sigmoid-Neuron-Assignment.zip
  • 001 Introduction to Probability and Random Variables.mp4
    08:05
  • 002 Why Random Variable is important.mp4
    04:24
  • 003 Random Variable - Types.mp4
    01:59
  • 004 Probability Distribution Table.mp4
    06:05
  • 005 Why do we require Entropy Loss.mp4
    04:04
  • 001 Download Materials.html
  • 001 Why-DeepLearning-Neural-Networks.zip
  • 002 Why Deep Neural Networks.mp4
    01:31
  • 003 Linear Separation of Data.mp4
    09:33
  • 001 Understanding Universal Approximation Theorem.mp4
    05:34
  • 002 Confirming Universal Approximation Theorem Works.mp4
    04:04
  • 003 Going deep into Neural Networks.mp4
    14:12
  • 004 Challenges in Creating Deep Neural Networks from Scratch.mp4
    07:09
  • 001 1-creating-first-nn-with-tf-2-x.zip
  • 001 Code File for this section.html
  • 002 Deep Neural Networks - Recap.mp4
    04:17
  • 003 Introducing Tensorflow.mp4
    04:48
  • 004 Building a Neural Network with Tensorflow.mp4
    16:04
  • 005 Create First Neural Network with Tensorflow.mp4
    12:46
  • 006 Training the Deep Neural Network.mp4
    06:36
  • 007 Training Evaluation.mp4
    04:19
  • 008 Summary.mp4
    03:36
  • 001 Code File for this Section.html
  • 001 activation-functions-in-tensorflow.zip
  • 002 Activation Functions in Deep Learning Neural Networks - Introduction.mp4
    01:52
  • 003 Various Activation Functions.mp4
    18:37
  • 004 Summary on Activation Functions.mp4
    01:41
  • 005 Common Network Configuration.mp4
    07:45
  • 001 Moving from Shallow learning to Deep learning.mp4
    05:57
  • 002 Assignment File for Deep learning neural networks.html
  • 002 Assignment-File-for-DeepLearning-Neural-Networks.zip
  • 003 Keras Basics.mp4
    04:00
  • 004 DeepLearning-Multi-Class-Classification.zip
  • 004 Deep-Learning-Regression.zip
  • 004 Download Materials.html
  • 005 Types of Problems.mp4
    02:23
  • 006 ReLU , Softmax & Cross Entropy.mp4
    05:48
  • 007 DeepLearning-Multi-Class-Classification.zip
  • 007 Implementing Multi Class classification using keras.mp4
    13:03
  • 008 Deep-Learning-Regression.zip
  • 008 Regression Problem.mp4
    15:07
  • 009 Tensorflow Advanced Tricks - Ways to create Neural Network.mp4
    13:06
  • 010 Tensorflow - Subclassing Methods.mp4
    11:06
  • 011 Bonus - Get More of Learning Journey.html
  • 001 Machine learning Deployment Part 1 - Model Prep - End to End.mp4
    15:31
  • 002 Machine learning Deployment Part 2 - Deploy Flask App - End to End.mp4
    11:48
  • 003 Streamlit Tutorial.mp4
    19:22
  • 004 Additional content to support your learning journey.html
  • 005 Course Intro to MLOps.mp4
    04:22
  • Description


    Go from Beginner to Expert with building intuition on single neuron till deep neural networks in Keras & tensorflow

    What You'll Learn?


    • Deep learning using Keras to implement various problems like Binary Classification, Multi Class classification, & Regression
    • Intuition on Deep Learning Neural Networks by implementing the code in Python using Keras Library
    • Learn Python to kick start Deep Learning journey
    • Build intuition on Various Models in Deep learning and Learning algorithms in Deep learning

    Who is this for?


  • Anyone looking to start career in Deep learning
  • Anyone wants to build Deep learning - Neural networks
  • Anyone wants to implement Deep Learning using Keras
  • Anyone wants to learn to code in Python to implement Deep learning
  • Anyone wants to be in Latest Trend in technology - Deep learning
  • What You Need to Know?


  • Basic coding experience in any programming language
  • Basic Mathematics Knowledge - High School Level
  • More details


    Description

    You might have seen in many articles as -

    "AI is the new future"

    "Deep Learning Will Make Truly Self-Driving Cars a Reality"

    "Deep Learning hottest career for the next decade "

    "Deep Learning aides in Scientific discovery "

    ... the list goes on!!!


    Yes. AI is the new future, with the various technological advancements in hardware and software, Deep Learning algorithms are able to perform better compared to last decade. Combined with true power in hardware and research for better Deep Learning models, the field AI is growing exponentially.


    With all the latest demand we have in this present world, We at ManifoldAILearning decided to create the course - DEEP LEARNING from Scratch- Keras Tensorflow


    With this course, you will kick start your journey into deep learning and build intuition on Deep Neural Networks with hands on exercise and   high quality video tutorial.


    This is the course structure of Deep learning :

    1. Basic Nuts & Bolts of Deep Learning

    2. Crash Course on Python

    3. Understanding various models in Deep learning

    4. Implement Deep learning neural networks using keras with Tensorflow backend

    5. Implement Deep learning on common types of problems like Binary Classification, Multi Class classification & Regression


    *** Why Deep Learning 101 !!***

    Here are top reasons we think Deep Learning is best for you:

    1. EXPERT DESIGNED COURSE STRUCTURE

    The one challenge every learner finds is ,  getting lost in the topics of Deep Learning before stepping into it. Hence we focused on building a sold structure for this course, so that no matter what your skill level may be, you will find it intuitive on the concepts of Essentials required for kick starting your Deep learning journey.

    With Exercise after each module will help you as a learner to gain knowledge as well as build confidence on the topics.


    2. HIGH QUALITY INTUITIVE TUTORIALS

    We want the students to gain intuition as well as knowing how to make it work by coding. So, we have divided our each topic into two sub sections, where we explain the concepts theoretically with intuitive videos as well as  practical section to implement the topics we have learnt in theory section. This will make you, as a student to have a complete learning experience.


    3. PRACTICAL HANDS-ON EXERCISE

    Every practical section starts with us coding along with you , and explaining  & build intuition as how each line works and behave. We believe this is important, as after the completion of this course, you should be able to apply to other datasets of your choice.

    All the codes and data sets are also available for you to download & practice at your own pace.


    We believe that this course will be very useful to you, as Deep learning 101 is designed to kick start your Deep Learning journey with required essentials and be a part of technological advancement which is driving today & Tomorrow's technology.


    We believe that -

    " The best time to prepare for tomorrow's technology is by learning today ".

    So Start now!! We will see you in Lesson 1 of Deep Learning 101

    - Team ManifoldAILearning

    Who this course is for:

    • Anyone looking to start career in Deep learning
    • Anyone wants to build Deep learning - Neural networks
    • Anyone wants to implement Deep Learning using Keras
    • Anyone wants to learn to code in Python to implement Deep learning
    • Anyone wants to be in Latest Trend in technology - Deep learning

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    Manifold AI Learning ®
    Manifold AI Learning ®
    Instructor's Courses
    Manifold AI Learning ®  is an online Academy with the goal to empower the students with the knowledge and skills that can be directly applied to solving the Real world problems in Data Science, Machine Learning and Artificial intelligence.Checkout our instructor profile for the complete list of courses.All the best for your Learning.- Team ManifoldAILearning ®"Learn the Future"
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 87
    • duration 10:01:26
    • English subtitles has
    • Release Date 2023/09/10