Machine Learning and Deep Learning A-Z: Hands-On Python Coupon
With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.
This course has suitable for everybody who interested in Machine Learning and Deep Learning concepts.
First of all, in this course, we will learn some fundamental stuff of Python and the Numpy library. These are our first steps in our Deep Learning journey. After then we take a little trip to Machine Learning history. Then we will arrive at our next stop. Machine Learning. Here we learn the machine learning concepts, machine learning workflow, models and algorithms, and what is neural network concept. After then we arrive at our next stop. Artificial Neural network. And now our journey becomes an adventure. In this adventure we’ll enter the Keras world then we exit the Tensorflow world. Then we’ll try to understand the Convolutional Neural Network concept. But our journey won’t be over. Then we will arrive at Recurrent Neural Network and LTSM. We’ll take a look at them. After a while, we’ll trip to the Transfer Learning concept. And then we arrive at our final destination. Projects. Our play garden. Here we’ll make some interesting machine learning models with the information we’ve learned along our journey.
During the course you will learn:
What is the AI, Machine Learning, and Deep Learning
- History of Machine Learning
- Turing Machine and Turing Test
- The Logic of Machine Learning such as
- Understanding the machine learning models
- Machine Learning models and algorithms
- Gathering data
- Data pre-processing
- Choosing the right algorithm and model
- Training and testing the model
- Evaluation
- Artificial Neural Network with these topics
- What is ANN
- Anatomy of NN
- Tensor Operations
- The Engine of NN
- Keras
- Tensorflow
- Convolutional Neural Network
- Recurrent Neural Network and LTSM
- Transfer Learning
In this course, we will start from the very beginning and go all the way to the end of “Deep Learning” with examples.
Before we start this course, we will learn which environments we can be used for developing deep learning projects.
