Create a neural network without using machine learning libraries (i.e. create it using numpy, math, scipy, etc.).

Hi I am IBM certified in Deep learning, and have deep knowledge in theory aspects of Neural networks. Feel free to contact me, I can do your program without tensorflow and keras.

Hi, I would love to create a deep learning model from scratch using numpy and math libraries. I have gone through the attached dataset and can build a good model on this. I have Master's in Machine Learning and currently working in a Silicon Valley based company as an Artificial Intelligence Specialist. I have significant experience in Machine Learning. Please let me know the timeline of this project. Looking forward to hearing back from you. Thank you Regards Zeeshan

Hi I am a Certified Python & R Expert. I have good experience dealing with python & R. I'm sure I will complete your project. Let's discuss a few points. I'll not disappoint you

Hi there! I can help you with Neural networks as I have 6+ years of experience and did a lot of work in this field (you can check my portfolio) I can provide you work related to ML, Deep learning, neutral networks, Computer vision in python as for your project it will be done without any built in functions Rest assured with 100% accuracy and efficiency in my part. I will provide you project before deadline and I am comfortable with negotiation in pricing. Kindly drop a message for discussing project requirements in detail. Thanks and regards

Hello, I'm an MSc student working on computer vision and deep learning over 3 years. I have extensive experience in implementing neural networks and various optimization algorithms including steepest descent and the golden section search. Do not hesitate to send me a message about the details.

I have already developed similar project with gradient descent. Only Golden section method should be added.

I have 5 years experience in python and scikit-learn/keras and an interest for machine elarning. I can complete your project as soon as possible.

I am a machine learning enthusiast who enjoys connecting the dots: be it ideas from different disciplines, people from different teams, or applications from different industries. I have strong technical skills and an academic background in engineering, statistics, and machine learning and deep learning.